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spaCy/spacy/morphology.pxd

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* More work on language-generic parsing
2015-08-28 00:02:33 +00:00
from cymem.cymem cimport Pool
Restore previous morphology stuff
2018-09-24 22:35:59 +00:00
from preshed.maps cimport PreshMap, PreshMapArray
* More work on language-generic parsing
2015-08-28 00:02:33 +00:00
from libc.stdint cimport uint64_t
WIP on supporting morphology features
2018-09-24 21:57:41 +00:00
from murmurhash cimport mrmr
Modify morphology to support arbitrary features (#4932) * 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.
2020-01-23 21:01:54 +00:00
cimport numpy as np
* More work on language-generic parsing
2015-08-28 00:02:33 +00:00
Add MorphAnalysisC struct
2019-03-07 13:03:07 +00:00
from .structs cimport TokenC, MorphAnalysisC
* Tagger training now working. Still need to test load/save of model. Morphology still broken.
2015-08-27 07:16:11 +00:00
from .strings cimport StringStore
WIP on supporting morphology features
2018-09-24 21:57:41 +00:00
from .typedefs cimport hash_t, attr_t, flags_t
* More work on language-generic parsing
2015-08-28 00:02:33 +00:00
from .parts_of_speech cimport univ_pos_t
* Addmorphology symbols to morphology. May need to remove these as an enum.
2015-10-10 11:10:58 +00:00
from . cimport symbols
* More work on language-generic parsing
2015-08-28 00:02:33 +00:00
* Comment out enums in Morpohlogy for now
2015-08-26 17:17:35 +00:00
cdef class Morphology:
* More work on language-generic parsing
2015-08-28 00:02:33 +00:00
cdef readonly Pool mem
* More work on language independent parsing
2015-08-28 01:44:54 +00:00
cdef readonly StringStore strings
WIP on supporting morphology features
2018-09-24 21:57:41 +00:00
cdef PreshMap tags # Keyed by hash, value is pointer to tag
* Tagger training now working. Still need to test load/save of model. Morphology still broken.
2015-08-27 07:16:11 +00:00
cdef public object lemmatizer
* Ensure Morphology can be pickled, to address Issue #125.
2015-10-12 04:27:47 +00:00
cdef readonly object tag_map
Restore previous morphology stuff
2018-09-24 22:35:59 +00:00
cdef readonly object tag_names
cdef readonly object reverse_index
cdef readonly object exc
Fix morphology
2018-09-25 08:57:33 +00:00
cdef readonly PreshMapArray _cache
Restore previous morphology stuff
2018-09-24 22:35:59 +00:00
cdef readonly int n_tags
* More work on language-generic parsing
2015-08-28 00:02:33 +00:00
Modify morphology to support arbitrary features (#4932) * 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.
2020-01-23 21:01:54 +00:00
cdef MorphAnalysisC create_morph_tag(self, field_feature_pairs) except *
cdef int insert(self, MorphAnalysisC tag) except -1
WIP on supporting morphology features
2018-09-24 21:57:41 +00:00
Add assign_untagged method in Morphology
2017-10-11 01:22:49 +00:00
cdef int assign_untagged(self, TokenC* token) except -1
* More work on language-generic parsing
2015-08-28 00:02:33 +00:00
cdef int assign_tag(self, TokenC* token, tag) except -1
Fix morphology tagger
2016-11-04 18:19:09 +00:00
cdef int assign_tag_id(self, TokenC* token, int tag_id) except -1
* Comment out enums in Morpohlogy for now
2015-08-26 17:17:35 +00:00
Fix exception loading
2018-09-25 13:18:21 +00:00
cdef int _assign_tag_from_exceptions(self, TokenC* token, int tag_id) except -1
Export helper functions for morphology
2019-03-07 17:33:06 +00:00
Modify morphology to support arbitrary features (#4932) * 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.
2020-01-23 21:01:54 +00:00
cdef int check_feature(const MorphAnalysisC* morph, attr_t feature) nogil
cdef list list_features(const MorphAnalysisC* morph)
cdef np.ndarray get_by_field(const MorphAnalysisC* morph, attr_t field)
cdef int get_n_by_field(attr_t* results, const MorphAnalysisC* morph, attr_t field) nogil