Commit Graph

26 Commits

Author SHA1 Message Date
Ines Montani
828acffc12 Tidy up and auto-format 2020-03-25 12:28:12 +01:00
adrianeboyd
1a944e5976
Improve Italian tokenization (#5204)
Improve Italian tokenization for UD_Italian-ISDT.
2020-03-25 11:28:02 +01:00
Ines Montani
d64cfce546 Remove unnecessary newline replace 2019-11-15 16:19:01 +01:00
Ines Montani
e0cf4796a5 Move lookup tables out of the core library (#4346)
* Add default to util.get_entry_point

* Tidy up entry points

* Read lookups from entry points

* Remove lookup tables and related tests

* Add lookups install option

* Remove lemmatizer tests

* Remove logic to process language data files

* Update setup.cfg
2019-10-01 00:01:27 +02:00
Ines Montani
5ca7dd0f94
💫 WIP: Basic lookup class scaffolding and JSON for all lemmati… (#4167)
* Improve load_language_data helper

* WIP: Add Lookups implementation

* Start moving lemma data over to JSON

* WIP: move data over for more languages

* Convert more languages

* Fix lemmatizer fixtures in tests

* Finish conversion

* Auto-format JSON files

* Fix test for now

* Make sure tables are stored on instance
2019-08-22 14:21:32 +02:00
Ines Montani
f580302673 Tidy up and auto-format 2019-08-20 17:36:34 +02:00
Paul O'Leary McCann
756b66b7c0 Reduce size of language data (#4141)
* Move Turkish lemmas to a json file

Rather than a large dict in Python source, the data is now a big json
file. This includes a method for loading the json file, falling back to
a compressed file, and an update to MANIFEST.in that excludes json in
the spacy/lang directory.

This focuses on Turkish specifically because it has the most language
data in core.

* Transition all lemmatizer.py files to json

This covers all lemmatizer.py files of a significant size (>500k or so).
Small files were left alone.

None of the affected files have logic, so this was pretty
straightforward.

One unusual thing is that the lemma data for Urdu doesn't seem to be
used anywhere. That may require further investigation.

* Move large lang data to json for fr/nb/nl/sv

These are the languages that use a lemmatizer directory (rather than a
single file) and are larger than English.

For most of these languages there were many language data files, in
which case only the large ones (>500k or so) were converted to json. It
may or may not be a good idea to migrate the remaining Python files to
json in the future.

* Fix id lemmas.json

The contents of this file were originally just copied from the Python
source, but that used single quotes, so it had to be properly converted
to json first.

* Add .json.gz to gitignore

This covers the json.gz files built as part of distribution.

* Add language data gzip to build process

Currently this gzip data on every build; it works, but it should be
changed to only gzip when the source file has been updated.

* Remove Danish lemmatizer.py

Missed this when I added the json.

* Update to match latest explosion/srsly#9

The way gzipped json is loaded/saved in srsly changed a bit.

* Only compress language data if necessary

If a .json.gz file exists and is newer than the corresponding json file,
it's not recompressed.

* Move en/el language data to json

This only affected files >500kb, which was nouns for both languages and
the generic lookup table for English.

* Remove empty files in Norwegian tokenizer

It's unclear why, but the Norwegian (nb) tokenizer had empty files for
adj/adv/noun/verb lemmas. This may have been a result of copying the
structure of the English lemmatizer.

This removed the files, but still creates the empty sets in the
lemmatizer. That may not actually be necessary.

* Remove dubious entries in English lookup.json

" furthest" and " skilled" - both prefixed with a space - were in the
English lookup table. That seems obviously wrong so I have removed them.

* Fix small issues with en/fr lemmatizers

The en tokenizer was including the removed _nouns.py file, so that's
removed.

The fr tokenizer is unusual in that it has a lemmatizer directory with
both __init__.py and lemmatizer.py. lemmatizer.py had not been converted
to load the json language data, so that was fixed.

* Auto-format

* Auto-format

* Update srsly pin

* Consistently use pathlib paths
2019-08-20 14:54:11 +02:00
Sofie
9a478b6db8 Clean up of char classes, few tokenizer fixes and faster default French tokenizer (#3293)
* splitting up latin unicode interval

* removing hyphen as infix for French

* adding failing test for issue 1235

* test for issue #3002 which now works

* partial fix for issue #2070

* keep the hyphen as infix for French (as it was)

* restore french expressions with hyphen as infix (as it was)

* added succeeding unit test for Issue #2656

* Fix issue #2822 with custom Italian exception

* Fix issue #2926 by allowing numbers right before infix /

* splitting up latin unicode interval

* removing hyphen as infix for French

* adding failing test for issue 1235

* test for issue #3002 which now works

* partial fix for issue #2070

* keep the hyphen as infix for French (as it was)

* restore french expressions with hyphen as infix (as it was)

* added succeeding unit test for Issue #2656

* Fix issue #2822 with custom Italian exception

* Fix issue #2926 by allowing numbers right before infix /

* remove duplicate

* remove xfail for Issue #2179 fixed by Matt

* adjust documentation and remove reference to regex lib
2019-02-20 22:10:13 +01:00
Sofie
9745b0d523 Improve Italian & Urdu tokenization accuracy (#3228)
## Description

1. Added the same infix rule as in French (`d'une`, `j'ai`) for Italian (`c'è`, `l'ha`), bringing F-score on `it_isdt-ud-train.txt` from 96% to 99%. Added unit test to check this behaviour.

2. Added specific Urdu punctuation character as suffix, improving F-score on `ur_udtb-ud-train.txt` from 94% to 100%. Added unit test to check this behaviour.

### Types of change
Enhancement of Italian & Urdu tokenization

## Checklist
- [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.
2019-02-04 22:39:25 +01:00
Ines Montani
eddeb36c96
💫 Tidy up and auto-format .py files (#2983)
<!--- Provide a general summary of your changes in the title. -->

## Description
- [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files.
- [x] Update flake8 config to exclude very large files (lemmatization tables etc.)
- [x] Update code to be compatible with flake8 rules
- [x] Fix various small bugs, inconsistencies and messy stuff in the language data
- [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means)

Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results.

At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information.

### Types of change
enhancement, code style

## 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.
2018-11-30 17:03:03 +01:00
Matthew Honnibal
21047bde52 Fix syntax error in italian lemmatizer 2018-04-03 23:13:22 +02:00
ines
11c4735ccf Fix issue in Italian lemmatizer data (resolves #2050) 2018-03-27 23:55:22 +02:00
Jim O'Regan
ba6a23fd11 BOM in Italian lemmatiser 2017-11-29 17:40:07 +00:00
ines
975e1042ff Fix Italian tag map 2017-11-05 18:34:09 +01:00
Matthew Honnibal
0d4bd6414e Fix Italian tag map 2017-11-05 14:11:03 +01:00
ines
f7485a09c8 Fix Italian tag map 2017-11-05 13:12:58 +01:00
ines
3cef901834 Add tag map for French and Italian 2017-11-04 23:32:51 +01:00
ines
8ce6f96180 Don't make copies of language data components 2017-10-11 15:34:55 +02:00
ines
417d45f5d0 Add lemmatizer data as variable on language data
Don't create lookup lemmatizer within Language class and just pass in
the data so it can be set on Token creation
2017-10-11 02:24:58 +02:00
ines
0c2343d73a Tidy up language data 2017-10-11 02:22:49 +02:00
ines
1fe5e1a4d1 Add language example sentences (see #1107)
da, de, en, es, fr, he, it, nb, pl, pt, sv
2017-08-19 12:22:29 +02:00
ines
4c643d74c5 Add norm exceptions to other Language classes 2017-06-03 22:29:21 +02:00
ines
924e8506de Move Defaults subclass to module scope (necessary for pickling) 2017-05-20 19:02:27 +02:00
ines
73b577cb01 Fix relative imports 2017-05-08 22:29:04 +02:00
ines
ae99990f63 Fix formatting 2017-05-08 22:23:48 +02:00
ines
f46ffe3e89 Move language data to /lang module 2017-05-08 20:00:40 +02:00