For the `DependencyMatcher`:
* Fix on_match callback so that it is called once per matched pattern
* Fix results so that patterns with empty match lists are not returned
Modify the internal pattern representation in `Matcher` patterns to
identify the final ID state using a unique quantifier rather than a
combination of other attributes.
It was insufficient to identify the final ID node based on an
uninitialized `quantifier` (coincidentally being the same as the `ZERO`)
with `nr_attr` as 0. (In addition, it was potentially bug-prone that
`nr_attr` was set to 0 even though attrs were allocated.)
In the case of `{"OP": "!"}` (a valid, if pointless, pattern), `nr_attr`
is 0 and the quantifier is ZERO, so the previous methods for
incrementing to the ID node at the end of the pattern weren't able to
distinguish the final ID node from the `{"OP": "!"}` pattern.
* added single and paired orth variants
* added token match
* added long text tokenization test
* inverted init
* normalized lemmas to lowercase
* more abbrevs
* tests for ordinals and abbrevs
* separated period abbvrevs to another list
* fiex typo
* added ordinal and abbrev tests
* added number tests for dates
* minor refinement
* added inflected abbrevs regex
* added percentage and inflection
* cosmetics
* added token match
* added url inflection tests
* excluded url tokens from custom pattern
* removed url match import
* Include Macedonian language
* Fix indentation at char_classes.py
* Fix indentation at char_classes.py
* Add Macedonian tests, update lex_attrs and char_classes
* Import unicode literals for python 2
* added tr_vocab to config
* basic test
* added syntax iterator to Turkish lang class
* first version for Turkish syntax iter, without flat
* added simple tests with nmod, amod, det
* more tests to amod and nmod
* separated noun chunks and parser test
* rearrangement after nchunk parser separation
* added recursive NPs
* tests with complicated recursive NPs
* tests with conjed NPs
* additional tests for conj NP
* small modification for shaving off conj from NP
* added tests with flat
* more tests with flat
* added examples with flats conjed
* added inner func for flat trick
* corrected parse
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* feat: added turkish tag map
* feat: morph rules cconj and sconj
* feat: more conjuncts
* feat: added popular postpositions
* feat: added adverbs
* feat: added personal pronouns
* feat: added reflexive pronouns
* minor: corrected case capital
* minor: fixed comma typo
* feat: added indef pronouns
* feat: added dict iter
* fixed comma typo
* updated language class with tag map and morph
* use default tag map instead
* removed tag map
* Hindi: Adds tests for lexical attributes (norm and like_num)
* Signs and sdds the contributor agreement
* Add ordinal numbers to be tagged as like_num
* Adds alternate pronunciation for 31 and 39
* Regression test for issue 6207
* Fix issue 6207
* Sign contributor agreement
* Minor adjustments to test
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* reorder so tagmap is replaced only if a custom file is provided.
* Remove unneeded variable initialization
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* create contributor agreement
* Update Indonesian example. (see #1107)
Update Indonesian examples with more proper phrases. the current phrases contains sensitive and violent words.
* Update stop_words.py
Hebrew STOP WORDS
* Update stop_words.py
* contributor
* contributor
* add some common domain extentions
support human number 1K/1M....
* support human number 1K/1M....
* hebrew number tokenize
1K/1M implement in EN
* test human tokenize fix
* test
* heb like num
revert human number change
* heb like num
* Create lex_attrs.py
Hello,
I am missing a CZECH language in SpaCy. So I would like to help to push it a little. This file is base on others lex_attrs.py files just with translation to Czech.
* Update __init__.py
Updated for use with new Czech Lex_attrs file
* Update stop_words.py
* Create test_text.py
* add like_num testing for czech
Co-authored-by: holubvl3 <47881982+holubvl3@users.noreply.github.com>
Co-authored-by: holubvl3 <vilemrousi@gmail.com>
Co-authored-by: Vladimír Holubec <vholubec@arcdata.cz>
* Create lex_attrs.py
Hello,
I am missing a CZECH language in SpaCy. So I would like to help to push it a little. This file is base on others lex_attrs.py files just with translation to Czech.
* Update __init__.py
Updated for use with new Czech Lex_attrs file
* Update stop_words.py
* Create test_text.py
Co-authored-by: Vladimír Holubec <vholubec@arcdata.cz>
* Add a warning when a subpattern is not processed and discarded
* Normalize subpattern attribute/operator keys to upper case like
top-level attributes
* Allow Doc.char_span to snap to token boundaries
Add a `mode` option to allow `Doc.char_span` to snap to token
boundaries. The `mode` options:
* `strict`: character offsets must match token boundaries (default, same as
before)
* `inside`: all tokens completely within the character span
* `outside`: all tokens at least partially covered by the character span
Add a new helper function `token_by_char` that returns the token
corresponding to a character position in the text. Update
`token_by_start` and `token_by_end` to use `token_by_char` for more
efficient searching.
* Remove unused import
* Rename mode to alignment_mode
Rename `mode` to `alignment_mode` with the options
`strict`/`contract`/`expand`. Any unrecognized modes are silently
converted to `strict`.
Provide more customized normalization table warnings when training a new
model. Only suggest installing `spacy-lookups-data` if it's not already
installed and it includes a table for this language (currently checked
in a hard-coded list).
