Commit Graph

27 Commits

Author SHA1 Message Date
Ines Montani
38f6ea7a78 Simplify language data and revert detailed configs 2020-07-24 14:50:26 +02:00
Ines Montani
b507f61629 Tidy up and move noun_chunks, token_match, url_match 2020-07-22 22:18:46 +02:00
Ines Montani
945f795a3e WIP: move more language data to config 2020-07-22 15:59:37 +02:00
Ines Montani
43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

Co-authored-by: Ines Montani <ines@ines.io>

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

* removing default values from component constructors where possible (TODO: test 4725)

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

* specify the section of the config which holds the model to debug

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed)

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

* Move [pipeline] to top-level block and make [nlp.pipeline] list

Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +02:00
Adriane Boyd
2f981d5af1 Remove corpus-specific tag maps
Remove corpus-specific tag maps from the language data for languages
without custom tokenizers. For languages with custom word segmenters
that also provide tags (Japanese and Korean), the tag maps for the
custom tokenizers are kept as the default.

The default tag maps for languages without custom tokenizers are now the
default tag map from `lang/tag_map/py`, UPOS -> UPOS.
2020-07-15 15:58:29 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
adrianeboyd
a5cd203284
Reduce stored lexemes data, move feats to lookups (#5238)
* Reduce stored lexemes data, move feats to lookups

* Move non-derivable lexemes features (`norm / cluster / prob`) to
`spacy-lookups-data` as lookups
  * Get/set `norm` in both lookups and `LexemeC`, serialize in lookups
  * Remove `cluster` and `prob` from `LexemesC`, get/set/serialize in
    lookups only
* Remove serialization of lexemes data as `vocab/lexemes.bin`
  * Remove `SerializedLexemeC`
  * Remove `Lexeme.to_bytes/from_bytes`
* Modify normalization exception loading:
  * Always create `Vocab.lookups` table `lexeme_norm` for
    normalization exceptions
  * Load base exceptions from `lang.norm_exceptions`, but load
    language-specific exceptions from lookups
  * Set `lex_attr_getter[NORM]` including new lookups table in
    `BaseDefaults.create_vocab()` and when deserializing `Vocab`
* Remove all cached lexemes when deserializing vocab to override
  existing normalizations with the new normalizations (as a replacement
  for the previous step that replaced all lexemes data with the
  deserialized data)

* Skip English normalization test

Skip English normalization test because the data is now in
`spacy-lookups-data`.

* Remove norm exceptions

Moved to spacy-lookups-data.

* Move norm exceptions test to spacy-lookups-data

* Load extra lookups from spacy-lookups-data lazily

Load extra lookups (currently for cluster and prob) lazily from the
entry point `lg_extra` as `Vocab.lookups_extra`.

* Skip creating lexeme cache on load

To improve model loading times, do not create the full lexeme cache when
loading. The lexemes will be created on demand when processing.

* Identify numeric values in Lexeme.set_attrs()

With the removal of a special case for `PROB`, also identify `float` to
avoid trying to convert it with the `StringStore`.

* Skip lexeme cache init in from_bytes

* Unskip and update lookups tests for python3.6+

* Update vocab pickle to include lookups_extra

* Update vocab serialization tests

Check strings rather than lexemes since lexemes aren't initialized
automatically, account for addition of "_SP".

* Re-skip lookups test because of python3.5

* Skip PROB/float values in Lexeme.set_attrs

* Convert is_oov from lexeme flag to lex in vectors

Instead of storing `is_oov` as a lexeme flag, `is_oov` reports whether
the lexeme has a vector.

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 15:59:14 +02:00
Ines Montani
46568f40a7 Merge branch 'master' into tmp/sync 2020-03-26 13:38:14 +01:00
Adriane Boyd
d1f703d78d Improve German tokenization
Improve German tokenization with respect to Tiger.
2020-02-26 13:06:52 +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
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
af25323653 Tidy up and auto-format 2019-09-11 14:00:36 +02:00
Adriane Boyd
c39c13f26b Add guillemets/chevrons to German orth variants
Add guillemets/chevrons to German orth variants for both German/Austrian
and Swiss conventions.
2019-09-04 20:05:08 +02:00
Adriane Boyd
47af3f676e Single and paired orth variants for German 2019-08-28 09:19:18 +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
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
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
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
ece30c28a8 Don't split hyphenated words in German
This way, the tokenizer matches the tokenization in German treebanks
2017-09-16 20:40:15 +02:00
ines
fa7e576c57 Change order of exception dicts 2017-06-03 21:52:06 +02:00
ines
0d6fa8b241 Add German norm exceptions 2017-06-03 20:54:18 +02:00
ines
924e8506de Move Defaults subclass to module scope (necessary for pickling) 2017-05-20 19:02:27 +02:00
ines
1a05078c79 Add language-specific syntax iterators to en and de 2017-05-17 12:04:03 +02:00
ines
73b577cb01 Fix relative imports 2017-05-08 22:29:04 +02:00
ines
f46ffe3e89 Move language data to /lang module 2017-05-08 20:00:40 +02:00