mirror of https://github.com/explosion/spaCy.git
Add Ligurian language
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# spaCy contributor agreement
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This spaCy Contributor Agreement (**"SCA"**) is based on the
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[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
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The SCA applies to any contribution that you make to any product or project
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managed by us (the **"project"**), and sets out the intellectual property rights
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you grant to us in the contributed materials. The term **"us"** shall mean
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[ExplosionAI GmbH](https://explosion.ai/legal). The term
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**"you"** shall mean the person or entity identified below.
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If you agree to be bound by these terms, fill in the information requested
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folder [`.github/contributors/`](/.github/contributors/). The name of the file
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should be your GitHub username, with the extension `.md`. For example, the user
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Read this agreement carefully before signing. These terms and conditions
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constitute a binding legal agreement.
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## Contributor Agreement
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1. The term "contribution" or "contributed materials" means any source code,
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## Contributor Details
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| Field | Entry |
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|------------------------------- | ------------------------ |
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| Name | Giovanni Battista Parodi |
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| Company name (if applicable) | |
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| Title or role (if applicable) | |
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| Date | 2020-03-19 |
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| GitHub username | Baciccin |
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| Website (optional) | |
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@ -0,0 +1,31 @@
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# coding: utf8
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from __future__ import unicode_literals
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from .stop_words import STOP_WORDS
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .punctuation import TOKENIZER_INFIXES
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ..norm_exceptions import BASE_NORMS
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from ...language import Language
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from ...attrs import LANG, NORM
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from ...util import update_exc, add_lookups
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class LigurianDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters[LANG] = lambda text: "lij"
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
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)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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stop_words = STOP_WORDS
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infixes = TOKENIZER_INFIXES
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class Ligurian(Language):
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lang = "lij"
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Defaults = LigurianDefaults
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__all__ = ["Ligurian"]
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# coding: utf8
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from __future__ import unicode_literals
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"""
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Example sentences to test spaCy and its language models.
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>>> from spacy.lang.lij.examples import sentences
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>>> docs = nlp.pipe(sentences)
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"""
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sentences = [
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"Sciusciâ e sciorbî no se peu.",
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"Graçie di çetroin, che me son arrivæ.",
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"Vegnime apreuvo, che ve fasso pescâ di òmmi.",
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"Bella pe sempre l'ægua inta conchetta quande unn'agoggia d'ægua a se â trapaña.",
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]
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@ -0,0 +1,15 @@
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# coding: utf8
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from __future__ import unicode_literals
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from ..punctuation import TOKENIZER_INFIXES
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from ..char_classes import ALPHA
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ELISION = " ' ’ ".strip().replace(" ", "").replace("\n", "")
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_infixes = TOKENIZER_INFIXES + [
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r"(?<=[{a}][{el}])(?=[{a}])".format(a=ALPHA, el=ELISION)
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]
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TOKENIZER_INFIXES = _infixes
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# coding: utf8
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from __future__ import unicode_literals
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STOP_WORDS = set(
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"""
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a à â a-a a-e a-i a-o aiva aloa an ancheu ancon apreuvo ascì atra atre atri atro avanti avei
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bella belle belli bello ben
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ch' che chì chi ciù co-a co-e co-i co-o comm' comme con cösa coscì cöse
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d' da da-a da-e da-i da-o dapeu de delongo derê di do doe doî donde dòppo
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é e ê ea ean emmo en ëse
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fin fiña
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gh' ghe guæei
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i î in insemme int' inta inte inti into
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l' lê lì lô
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m' ma manco me megio meno mezo mi
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na n' ne ni ninte nisciun nisciuña no
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o ò ô oua
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parte pe pe-a pe-i pe-e pe-o perché pittin pö primma pròpio
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quæ quand' quande quarche quella quelle quelli quello
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s' sce scê sci sciâ sciô sciù se segge seu sò solo son sott' sta stæta stæte stæti stæto ste sti sto
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tanta tante tanti tanto te ti torna tra tròppo tutta tutte tutti tutto
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un uña unn' unna
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za zu
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""".split()
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)
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# coding: utf8
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from __future__ import unicode_literals
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from ...symbols import ORTH, LEMMA
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_exc = {}
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for raw, lemma in [
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("a-a", "a-o"),
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("a-e", "a-o"),
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("a-o", "a-o"),
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("a-i", "a-o"),
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("co-a", "co-o"),
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("co-e", "co-o"),
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("co-i", "co-o"),
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("co-o", "co-o"),
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("da-a", "da-o"),
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("da-e", "da-o"),
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("da-i", "da-o"),
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("da-o", "da-o"),
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("pe-a", "pe-o"),
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("pe-e", "pe-o"),
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("pe-i", "pe-o"),
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("pe-o", "pe-o"),
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]:
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for orth in [raw, raw.capitalize()]:
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_exc[orth] = [{ORTH: orth, LEMMA: lemma}]
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# Prefix + prepositions with à (e.g. "sott'a-o")
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for prep, prep_lemma in [
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("a-a", "a-o"),
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("a-e", "a-o"),
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("a-o", "a-o"),
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("a-i", "a-o"),
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]:
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for prefix, prefix_lemma in [
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("sott'", "sotta"),
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("sott’", "sotta"),
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("contr'", "contra"),
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("contr’", "contra"),
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("ch'", "che"),
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("ch’", "che"),
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("s'", "se"),
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("s’", "se"),
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]:
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for prefix_orth in [prefix, prefix.capitalize()]:
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_exc[prefix_orth+prep] = [
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{ORTH: prefix_orth, LEMMA: prefix_lemma},
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{ORTH: prep, LEMMA: prep_lemma},
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]
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TOKENIZER_EXCEPTIONS = _exc
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@ -181,6 +181,12 @@
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"name": "Vietnamese",
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"dependencies": [{ "name": "Pyvi", "url": "https://github.com/trungtv/pyvi" }]
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},
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{
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"code": "lij",
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"name": "Ligurian",
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"example": "Sta chì a l'é unna fraxe.",
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"has_examples": true
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},
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{
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"code": "xx",
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"name": "Multi-language",
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