Commit Graph

25 Commits

Author SHA1 Message Date
svlandeg
a581d82f33 introduce token.has_head and refer to MISSING_DEP_ (WIP) 2021-01-12 17:17:06 +01:00
Adriane Boyd
bf9096437e
Set default lemmas in retokenizer (#6667)
Instead of unsetting lemmas on retokenized tokens, set the default
lemmas to:

* merge: concatenate any existing lemmas with `SPACY` preserved
* split: use the new `ORTH` values if lemmas were previously set,
  otherwise leave unset
2021-01-06 12:29:44 +08:00
Ines Montani
1980203229 Merge branch 'master' into pr/6444 2020-12-09 11:09:40 +11:00
Adriane Boyd
53c0fb7431
Only set NORM on Token in retokenizer (#6464)
* Only set NORM on Token in retokenizer

Instead of setting `NORM` on both the token and lexeme, set `NORM` only
on the token.

The retokenizer tries to set all possible attributes with
`Token/Lexeme.set_struct_attr` so that it doesn't have to enumerate
which attributes are available for each. `NORM` is the only attribute
that's stored on both and for most cases it doesn't make sense to set
the global norms based on a individual retokenization. For lexeme-only
attributes like `IS_STOP` there's no way to avoid the global side
effects, but I think that `NORM` would be better only on the token.

* Fix test
2020-11-30 09:35:42 +08:00
Adriane Boyd
727370c633 Remove Span._recalculate_indices
Remove `Span._recalculate_indices`, which is a remnant from the
deprecated `Span.merge`.
2020-10-09 14:42:51 +02:00
Adriane Boyd
86c3ec9c2b
Refactor Token morph setting (#6175)
* Refactor Token morph setting

* Remove `Token.morph_`
* Add `Token.set_morph()`
  * `0` resets `token.c.morph` to unset
  * Any other values are passed to `Morphology.add`

* Add token.morph setter to set from MorphAnalysis
2020-10-01 22:21:46 +02:00
Adriane Boyd
73538782a0
Switch Doc.__init__(ents=) to IOB tags (#6173)
* Switch Doc.__init__(ents=) to IOB tags

* Fix check for "-"

* Allow "" or None as missing IOB tag
2020-10-01 16:22:18 +02:00
Ines Montani
67fbcb3da5 Tidy up tests and docs 2020-09-21 20:43:54 +02:00
Adriane Boyd
e962784531
Add Lemmatizer and simplify related components (#5848)
* Add Lemmatizer and simplify related components

* Add `Lemmatizer` pipe with `lookup` and `rule` modes using the
`Lookups` tables.
* Reduce `Tagger` to a simple tagger that sets `Token.tag` (no pos or lemma)
* Reduce `Morphology` to only keep track of morph tags (no tag map, lemmatizer,
or morph rules)
* Remove lemmatizer from `Vocab`
* Adjust many many tests

Differences:

* No default lookup lemmas
* No special treatment of TAG in `from_array` and similar required
* Easier to modify labels in a `Tagger`
* No extra strings added from morphology / tag map

* Fix test

* Initial fix for Lemmatizer config/serialization

* Adjust init test to be more generic

* Adjust init test to force empty Lookups

* Add simple cache to rule-based lemmatizer

* Convert language-specific lemmatizers

Convert language-specific lemmatizers to component lemmatizers. Remove
previous lemmatizer class.

* Fix French and Polish lemmatizers

* Remove outdated UPOS conversions

* Update Russian lemmatizer init in tests

* Add minimal init/run tests for custom lemmatizers

* Add option to overwrite existing lemmas

* Update mode setting, lookup loading, and caching

* Make `mode` an immutable property
* Only enforce strict `load_lookups` for known supported modes
* Move caching into individual `_lemmatize` methods

* Implement strict when lang is not found in lookups

* Fix tables/lookups in make_lemmatizer

* Reallow provided lookups and allow for stricter checks

* Add lookups asset to all Lemmatizer pipe tests

* Rename lookups in lemmatizer init test

* Clean up merge

* Refactor lookup table loading

* Add helper from `load_lemmatizer_lookups` that loads required and
optional lookups tables based on settings provided by a config.

Additional slight refactor of lookups:

* Add `Lookups.set_table` to set a table from a provided `Table`
* Reorder class definitions to be able to specify type as `Table`

* Move registry assets into test methods

* Refactor lookups tables config

Use class methods within `Lemmatizer` to provide the config for
particular modes and to load the lookups from a config.

* Add pipe and score to lemmatizer

* Simplify Tagger.score

* Add missing import

* Clean up imports and auto-format

* Remove unused kwarg

* Tidy up and auto-format

* Update docstrings for Lemmatizer

Update docstrings for Lemmatizer.

Additionally modify `is_base_form` API to take `Token` instead of
individual features.

* Update docstrings

* Remove tag map values from Tagger.add_label

* Update API docs

* Fix relative link in Lemmatizer API docs
2020-08-07 15:27:13 +02:00
Ines Montani
52728d8fa3 Merge branch 'develop' into master-tmp 2020-06-20 15:52:00 +02:00
Adriane Boyd
71fe61fdcd Disallow merging 0-length spans 2020-05-22 10:14:34 +02:00
Ines Montani
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +01:00
adrianeboyd
5ee9d8c9b8
Add MORPH attr, add support in retokenizer (#4947)
* Add MORPH attr / symbol for token attrs

* Update retokenizer for MORPH
2020-01-29 17:45:46 +01:00
Ines Montani
db55577c45
Drop Python 2.7 and 3.5 (#4828)
* Remove unicode declarations

* Remove Python 3.5 and 2.7 from CI

* Don't require pathlib

* Replace compat helpers

* Remove OrderedDict

* Use f-strings

* Set Cython compiler language level

* Fix typo

* Re-add OrderedDict for Table

* Update setup.cfg

* Revert CONTRIBUTING.md

* Revert lookups.md

* Revert top-level.md

* Small adjustments and docs [ci skip]
2019-12-22 01:53:56 +01:00
Ines Montani
f7d1736241 Skip duplicate spans in Doc.retokenize (#4339) 2019-09-30 12:43:48 +02:00
Ines Montani
3d8fd4b461 Revert #4334 2019-09-29 17:32:12 +02:00
Ines Montani
c9cd516d96 Move tests out of package (#4334)
* Move tests out of package

* Fix typo
2019-09-28 18:05:00 +02:00
Ines Montani
6279d74c65 Tidy up and auto-format 2019-09-11 11:38:22 +02:00
adrianeboyd
aec755d3a3 Modify retokenizer to use span root attributes (#4219)
* Modify retokenizer to use span root attributes

* tag/pos/morph are set to root tag/pos/morph

* lemma and norm are reset and end up as orth (not ideal, but better
than orth of first token)

* Also handle individual merge case

* Add test

* Attempt to handle ent_iob and ent_type in merges

* Fix check for whether B-ENT should become I-ENT

* Move IOB consistency check to after attrs

Move all IOB consistency checks after attrs are set and simplify to
check entire document, modifying I to B at the beginning of the document
or if the entity type of the previous token isn't the same.

* Move IOB consistency check for single merge

Move IOB consistency check after the token array is compressed for the
single merge case.

* Update spacy/tokens/_retokenize.pyx

Co-Authored-By: Matthew Honnibal <honnibal+gh@gmail.com>

* Remove single vs. multiple merge distinction

Remove original single-instance `_merge()` and use `_bulk_merge()` (now
renamed `_merge()`) for all merges.

* Add out-of-bound check in previous entity check
2019-09-08 13:04:49 +02:00
Ines Montani
67e38690d4 Un-xfail passing tests and tidy up 2019-03-10 18:42:16 +01:00
Ines Montani
62b558ab72 💫 Support lexical attributes in retokenizer attrs (closes #2390) (#3325)
* Fix formatting and whitespace

* Add support for lexical attributes (closes #2390)

* Document lexical attribute setting during retokenization

* Assign variable oputside of nested loop
2019-02-24 21:13:51 +01:00
Ines Montani
3bc53905cc Remove print statements from test 2019-02-24 20:31:15 +01:00
Ines Montani
399a5803d0 Tidy up tests [ci skip] 2019-02-24 19:02:16 +01:00
Ines Montani
df19e2bff6
💫 Allow setting of custom attributes during retokenization (closes #3314) (#3324)
<!--- Provide a general summary of your changes in the title. -->

## Description

This PR adds the abilility to override custom extension attributes during merging. This will only work for attributes that are writable, i.e. attributes registered with a default value like `default=False` or attribute that have both a getter *and* a setter implemented.

```python
Token.set_extension('is_musician', default=False)

doc = nlp("I like David Bowie.")
with doc.retokenize() as retokenizer:
    attrs = {"LEMMA": "David Bowie", "_": {"is_musician": True}}
    retokenizer.merge(doc[2:4], attrs=attrs)

assert doc[2].text == "David Bowie"
assert doc[2].lemma_ == "David Bowie"
assert doc[2]._.is_musician
```

### Types of change
enhancement

## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2019-02-24 18:38:47 +01:00
Ines Montani
d8f69d592f Tidy up retokenizer tests 2019-02-24 14:14:11 +01:00