Improve GoldParse NER alignment by including all cases where the start
and end of the NER span can be aligned, regardless of internal
tokenization differences.
To do this, convert BILUO tags to character offsets, check start/end
alignment with `doc.char_span()`, and assign the BILUO tags for the
aligned spans. Alignment for `O/-` tags is handled through the
one-to-one and multi alignments.
* Add pkuseg and serialization support for Chinese
Add support for pkuseg alongside jieba
* Specify model through `Language` meta:
* split on characters (if no word segmentation packages are installed)
```
Chinese(meta={"tokenizer": {"config": {"use_jieba": False, "use_pkuseg": False}}})
```
* jieba (remains the default tokenizer if installed)
```
Chinese()
Chinese(meta={"tokenizer": {"config": {"use_jieba": True}}}) # explicit
```
* pkuseg
```
Chinese(meta={"tokenizer": {"config": {"pkuseg_model": "default", "use_jieba": False, "use_pkuseg": True}}})
```
* The new tokenizer setting `require_pkuseg` is used to override
`use_jieba` default, which is intended for models that provide a pkuseg
model:
```
nlp_pkuseg = Chinese(meta={"tokenizer": {"config": {"pkuseg_model": "default", "require_pkuseg": True}}})
nlp = Chinese() # has `use_jieba` as `True` by default
nlp.from_bytes(nlp_pkuseg.to_bytes()) # `require_pkuseg` overrides `use_jieba` when calling the tokenizer
```
Add support for serialization of tokenizer settings and pkuseg model, if
loaded
* Add sorting for `Language.to_bytes()` serialization of `Language.meta`
so that the (emptied, but still present) tokenizer metadata is in a
consistent position in the serialized data
Extend tests to cover all three tokenizer configurations and
serialization
* Fix from_disk and tests without jieba or pkuseg
* Load cfg first and only show error if `use_pkuseg`
* Fix blank/default initialization in serialization tests
* Explicitly initialize jieba's cache on init
* Add serialization for pkuseg pre/postprocessors
* Reformat pkuseg install message
* Matcher support for Span, as well as Doc #5056
* Removes an import unused
* Signed contributors agreement
* Code optimization and better test
* Add error message for bad Matcher call argument
* Fix merging
* Use max(uint64) for OOV lexeme rank
* Add test for default OOV rank
* Revert back to thinc==7.4.0
Requiring the updated version of thinc was unnecessary.
* Define OOV_RANK in one place
Define OOV_RANK in one place in `util`.
* Fix formatting [ci skip]
* Switch to external definitions of max(uint64)
Switch to external defintions of max(uint64) and confirm that they are
equal.
* Add Doc init from list of words and text
Add an option to initialize a `Doc` from a text and list of words where
the words may or may not include all whitespace tokens. If the text and
words are mismatched, raise an error.
* Fix error code
* Remove all whitespace before aligning words/text
* Move words/text init to util function
* Update error message
* Rename to get_words_and_spaces
* Fix formatting
* Modify Vector.resize to work with cupy
Modify `Vectors.resize` to work with cupy. Modify behavior when resizing
to a different vector dimension so that individual vectors are truncated
or extended with zeros instead of having the original values filled into
the new shape without regard for the original axes.
* Update spacy/tests/vocab_vectors/test_vectors.py
Co-Authored-By: Matthew Honnibal <honnibal+gh@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
UD_Danish-DDT has (as far as I can tell) hallucinated periods after
abbreviations, so the changes are an artifact of the corpus and not due
to anything meaningful about Danish tokenization.
* merge_entities sets the vector in the vocab for the merged token
* add unit test
* import unicode_literals
* move code to _merge function
* only set vector if vocab has non-zero vectors
* Improve token head verification
Improve the verification for valid token heads when heads are set:
* in `Token.head`: heads come from the same document
* in `Doc.from_array()`: head indices are within the bounds of the
document
* Improve error message
* add lemma option to displacy 'dep' visualiser
* more compact list comprehension
* add option to doc
* fix test and add lemmas to util.get_doc
* fix capital
* remove lemma from get_doc
* cleanup
* Sync Span __eq__ and __hash__
Use the same tuple for `__eq__` and `__hash__`, including all attributes
except `vector` and `vector_norm`.
* Update entity comparison in tests
Update `assert_docs_equal()` test util to compare `Span` properties for
ents rather than `Span` objects.
Modify flag settings so that `DEP` is not sufficient to set `is_parsed`
and only run `set_children_from_heads()` if `HEAD` is provided.
Then the combination `[SENT_START, DEP]` will set deps and not clobber
sent starts with a lot of one-word sentences.
* don't split on a colon. Colon is used to attach suffixes for abbreviations
* tokenize on any of LIST_HYPHENS (except a single hyphen), not just on --
* simplify infix rules by merging similar rules
* Fix ent_ids and labels properties when id attribute used in patterns
* use set for labels
* sort end_ids for comparison in entity_ruler tests
* fixing entity_ruler ent_ids test
* add to set
* Mark most Hungarian tokenizer test cases as slow
Mark most Hungarian tokenizer test cases as slow to reduce the runtime
of the test suite in ordinary usage:
* for normal tests: run default tests plus 10% of the detailed tests
* for slow tests: run all tests
* Rework to mark individual tests as slow
* match domains longer than `hostname.domain.tld` like `www.foo.co.uk`
* expand allowed characters in domain names while only matching
lowercase TLDs so that "this.That" isn't matched as a URL and can be
split on the period as an infix (relevant for at least English, German,
and Tatar)
* expand serialization test for custom token attribute
* add failing test for issue 4849
* define ENT_ID as attr and use in doc serialization
* fix few typos
