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spaCy/spacy/lang/en/morph_rules.py

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Use consistent unicode declarations
2017-03-12 12:07:28 +00:00
# coding: utf8
Add morph rules
2016-12-18 14:36:15 +00:00
from __future__ import unicode_literals
Auto-format
2019-04-01 10:11:27 +00:00
from ...symbols import LEMMA, PRON_LEMMA
Add morph rules
2016-12-18 14:36:15 +00:00
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
# Several entries here look pretty suspicious. These will get the POS SCONJ
# given the tag IN, when an adpositional reading seems much more likely for
# a lot of these prepositions. I'm not sure what I was running in 04395ffa4
# when I did this? It doesn't seem right.
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
_subordinating_conjunctions = [
"that",
"if",
"as",
"because",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"of",
#"for",
#"before",
#"in",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"while",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"after",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"since",
"like",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"with",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"so",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"to",
#"by",
#"on",
#"about",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"than",
"whether",
"although",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"from",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"though",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"until",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"unless",
"once",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"without",
#"at",
#"into",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"cause",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"over",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"upon",
"till",
"whereas",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"beyond",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"whilst",
"except",
"despite",
"wether",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"then",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"but",
"becuse",
"whie",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"below",
#"against",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"it",
"w/out",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"toward",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"albeit",
"save",
"besides",
"becouse",
"coz",
"til",
"ask",
"i'd",
"out",
"near",
"seince",
Avoid making prepositions get the tag SCONJ
2019-08-25 19:56:47 +00:00
#"towards",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"tho",
"sice",
"will",
]
_relative_pronouns = ["this", "that", "those", "these"]
Add morph rules
2016-12-18 14:36:15 +00:00
MORPH_RULES = {
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"DT": {word: {"POS": "PRON"} for word in _relative_pronouns},
"IN": {word: {"POS": "SCONJ"} for word in _subordinating_conjunctions},
"NN": {
"something": {"POS": "PRON"},
"anyone": {"POS": "PRON"},
"anything": {"POS": "PRON"},
"nothing": {"POS": "PRON"},
"someone": {"POS": "PRON"},
"everything": {"POS": "PRON"},
"everyone": {"POS": "PRON"},
"everybody": {"POS": "PRON"},
"nobody": {"POS": "PRON"},
"somebody": {"POS": "PRON"},
"anybody": {"POS": "PRON"},
"any1": {"POS": "PRON"},
},
Add morph rules
2016-12-18 14:36:15 +00:00
"PRP": {
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"I": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "One",
"Number": "Sing",
"Case": "Nom",
},
"me": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "One",
"Number": "Sing",
"Case": "Acc",
},
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"you": {LEMMA: PRON_LEMMA, "POS": "PRON", "PronType": "Prs", "Person": "Two"},
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"he": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Gender": "Masc",
"Case": "Nom",
},
"him": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Gender": "Masc",
"Case": "Acc",
},
"she": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Gender": "Fem",
"Case": "Nom",
},
"her": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Gender": "Fem",
"Case": "Acc",
},
"it": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Gender": "Neut",
},
"we": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "One",
"Number": "Plur",
"Case": "Nom",
},
"us": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "One",
"Number": "Plur",
"Case": "Acc",
},
"they": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Plur",
"Case": "Nom",
},
"them": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Plur",
"Case": "Acc",
},
"mine": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "One",
"Number": "Sing",
"Poss": "Yes",
"Reflex": "Yes",
},
"his": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Gender": "Masc",
"Poss": "Yes",
"Reflex": "Yes",
},
"hers": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Gender": "Fem",
"Poss": "Yes",
"Reflex": "Yes",
},
"its": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Gender": "Neut",
"Poss": "Yes",
"Reflex": "Yes",
},
"ours": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "One",
"Number": "Plur",
"Poss": "Yes",
"Reflex": "Yes",
},
"yours": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Two",
"Number": "Plur",
"Poss": "Yes",
"Reflex": "Yes",
},
"theirs": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Plur",
"Poss": "Yes",
"Reflex": "Yes",
},
"myself": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "One",
"Number": "Sing",
"Case": "Acc",
"Reflex": "Yes",
},
"yourself": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Two",
"Case": "Acc",
"Reflex": "Yes",
},
"himself": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Case": "Acc",
"Gender": "Masc",
"Reflex": "Yes",
},
"herself": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Case": "Acc",
"Gender": "Fem",
"Reflex": "Yes",
},
"itself": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Case": "Acc",
"Gender": "Neut",
"Reflex": "Yes",
},
"themself": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Sing",
"Case": "Acc",
"Reflex": "Yes",
},
"ourselves": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "One",
"Number": "Plur",
"Case": "Acc",
"Reflex": "Yes",
},
"yourselves": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Two",
"Case": "Acc",
"Reflex": "Yes",
},
"themselves": {
LEMMA: PRON_LEMMA,
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "PRON",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"PronType": "Prs",
"Person": "Three",
"Number": "Plur",
"Case": "Acc",
"Reflex": "Yes",
},
Add morph rules
2016-12-18 14:36:15 +00:00
},
"PRP$": {
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"my": {
LEMMA: PRON_LEMMA,
"Person": "One",
"Number": "Sing",
"PronType": "Prs",
"Poss": "Yes",
},
"your": {LEMMA: PRON_LEMMA, "Person": "Two", "PronType": "Prs", "Poss": "Yes"},
"his": {
LEMMA: PRON_LEMMA,
"Person": "Three",
"Number": "Sing",
"Gender": "Masc",
"PronType": "Prs",
"Poss": "Yes",
},
"her": {
LEMMA: PRON_LEMMA,
"Person": "Three",
"Number": "Sing",
"Gender": "Fem",
"PronType": "Prs",
"Poss": "Yes",
},
"its": {
LEMMA: PRON_LEMMA,
"Person": "Three",
"Number": "Sing",
"Gender": "Neut",
"PronType": "Prs",
"Poss": "Yes",
},
"our": {
LEMMA: PRON_LEMMA,
"Person": "One",
"Number": "Plur",
"PronType": "Prs",
"Poss": "Yes",
},
"their": {
LEMMA: PRON_LEMMA,
"Person": "Three",
"Number": "Plur",
"PronType": "Prs",
"Poss": "Yes",
},
Add morph rules
2016-12-18 14:36:15 +00:00
},
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"RB": {word: {"POS": "PART"} for word in ["not", "n't", "nt", "n’t"]},
"VB": {
word: {"POS": "AUX"}
for word in ["be", "have", "do", "get", "of", "am", "are", "'ve"]
},
"VBN": {"been": {LEMMA: "be", "POS": "AUX"}},
"VBG": {"being": {LEMMA: "be", "POS": "AUX"}},
Add morph rules
2016-12-18 14:36:15 +00:00
"VBZ": {
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"am": {
LEMMA: "be",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "AUX",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"VerbForm": "Fin",
"Person": "One",
"Tense": "Pres",
"Mood": "Ind",
},
"are": {
LEMMA: "be",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "AUX",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"VerbForm": "Fin",
"Person": "Two",
"Tense": "Pres",
"Mood": "Ind",
},
"is": {
LEMMA: "be",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "AUX",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"VerbForm": "Fin",
"Person": "Three",
"Tense": "Pres",
"Mood": "Ind",
},
"'re": {
LEMMA: "be",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "AUX",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"VerbForm": "Fin",
"Person": "Two",
"Tense": "Pres",
"Mood": "Ind",
},
"'s": {
LEMMA: "be",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "AUX",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"VerbForm": "Fin",
"Person": "Three",
"Tense": "Pres",
"Mood": "Ind",
},
Fix lemmas
2019-03-21 13:22:12 +00:00
"has": {LEMMA: "have", "POS": "AUX"},
"does": {LEMMA: "do", "POS": "AUX"},
Add morph rules
2016-12-18 14:36:15 +00:00
},
"VBP": {
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"are": {
LEMMA: "be",
"POS": "AUX",
"VerbForm": "Fin",
"Tense": "Pres",
"Mood": "Ind",
},
"'re": {
LEMMA: "be",
"POS": "AUX",
"VerbForm": "Fin",
"Tense": "Pres",
"Mood": "Ind",
},
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"am": {
LEMMA: "be",
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"POS": "AUX",
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
"VerbForm": "Fin",
"Person": "One",
"Tense": "Pres",
"Mood": "Ind",
},
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"do": {"POS": "AUX"},
"have": {"POS": "AUX"},
"'m": {"POS": "AUX", LEMMA: "be"},
"'ve": {"POS": "AUX"},
"'s": {"POS": "AUX"},
"is": {"POS": "AUX"},
"'d": {"POS": "AUX"},
Add morph rules
2016-12-18 14:36:15 +00:00
},
"VBD": {
Bring English tag_map in line with UD Treebank I wrote a small script to read the UD English training data and check that our tag map and morph rules were resulting in the best POS map. This hadn't been done for some time, and there have been various changes to the UD schema since it has been done. After these changes we should see much better agreement between our POS assignments and the UD POS tags.
2019-03-21 12:53:44 +00:00
"was": {
LEMMA: "be",
"POS": "AUX",
"VerbForm": "Fin",
"Tense": "Past",
"Number": "Sing",
},
"were": {
LEMMA: "be",
"POS": "AUX",
"VerbForm": "Fin",
"Tense": "Past",
"Number": "Plur",
},
Fix lemmas
2019-03-21 13:22:12 +00:00
"did": {LEMMA: "do", "POS": "AUX"},
"had": {LEMMA: "have", "POS": "AUX"},
"'d": {LEMMA: "have", "POS": "AUX"},
💫 Tidy up and auto-format .py files (#2983) <!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
},
Add morph rules
2016-12-18 14:36:15 +00:00
}
Add title-case version of morph rules (resolves #686)
2017-03-18 16:27:11 +00:00
for tag, rules in MORPH_RULES.items():
for key, attrs in dict(rules).items():
rules[key.title()] = attrs