mirror of https://github.com/explosion/spaCy.git
adc9745718
* Restructure tag maps for MorphAnalysis changes
Prepare tag maps for upcoming MorphAnalysis changes that allow
arbritrary features.
* Use default tag map rather than duplicating for ca / uk / vi
* Import tag map into defaults for ga
* Modify tag maps so all morphological fields and features are strings
* Move features from `"Other"` to the top level
* Rewrite tuples as strings separated by `","`
* Rewrite morph symbols for fr lemmatizer as strings
* Export MorphAnalysis under spacy.tokens
* Modify morphology to support arbitrary features
Modify `Morphology` and `MorphAnalysis` so that arbitrary features are
supported.
* Modify `MorphAnalysisC` so that it can support arbitrary features and
multiple values per field. `MorphAnalysisC` is redesigned to contain:
* key: hash of UD FEATS string of morphological features
* array of `MorphFeatureC` structs that each contain a hash of `Field`
and `Field=Value` for a given morphological feature, which makes it
possible to:
* find features by field
* represent multiple values for a given field
* `get_field()` is renamed to `get_by_field()` and is no longer `nogil`.
Instead a new helper function `get_n_by_field()` is `nogil` and returns
`n` features by field.
* `MorphAnalysis.get()` returns all possible values for a field as a
list of individual features such as `["Tense=Pres", "Tense=Past"]`.
* `MorphAnalysis`'s `str()` and `repr()` are the UD FEATS string.
* `Morphology.feats_to_dict()` converts a UD FEATS string to a dict
where:
* Each field has one entry in the dict
* Multiple values remain separated by a separator in the value string
* `Token.morph_` returns the UD FEATS string and you can set
`Token.morph_` with a UD FEATS string or with a tag map dict.
* Modify get_by_field to use np.ndarray
Modify `get_by_field()` to use np.ndarray. Remove `max_results` from
`get_n_by_field()` and always iterate over all the fields.
* Rewrite without MorphFeatureC
* Add shortcut for existing feats strings as keys
Add shortcut for existing feats strings as keys in `Morphology.add()`.
* Check for '_' as empty analysis when adding morphs
* Extend helper converters in Morphology
Add and extend helper converters that convert and normalize between:
* UD FEATS strings (`"Case=dat,gen|Number=sing"`)
* per-field dict of feats (`{"Case": "dat,gen", "Number": "sing"}`)
* list of individual features (`["Case=dat", "Case=gen",
"Number=sing"]`)
All converters sort fields and values where applicable.
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| .. | ||
| __init__.py | ||
| test_issue1-1000.py | ||
| test_issue1001-1500.py | ||
| test_issue1501-2000.py | ||
| test_issue2001-2500.py | ||
| test_issue2501-3000.py | ||
| test_issue3001-3500.py | ||
| test_issue3521.py | ||
| test_issue3526.py | ||
| test_issue3531.py | ||
| test_issue3540.py | ||
| test_issue3549.py | ||
| test_issue3555.py | ||
| test_issue3611.py | ||
| test_issue3625.py | ||
| test_issue3803.py | ||
| test_issue3830.py | ||
| test_issue3839.py | ||
| test_issue3869.py | ||
| test_issue3879.py | ||
| test_issue3880.py | ||
| test_issue3882.py | ||
| test_issue3951.py | ||
| test_issue3959.py | ||
| test_issue3962.py | ||
| test_issue3972.py | ||
| test_issue4002.py | ||
| test_issue4030.py | ||
| test_issue4042.py | ||
| test_issue4054.py | ||
| test_issue4120.py | ||
| test_issue4133.py | ||
| test_issue4190.py | ||
| test_issue4267.py | ||
| test_issue4272.py | ||
| test_issue4278.py | ||
| test_issue4313.py | ||
| test_issue4348.py | ||
| test_issue4367.py | ||
| test_issue4373.py | ||
| test_issue4402.py | ||
| test_issue4528.py | ||
| test_issue4529.py | ||
| test_issue4590.py | ||
| test_issue4651.py | ||
| test_issue4674.py | ||
| test_issue4707.py | ||