spaCy/spacy/lang/ja/bunsetu.py
Paul O'Leary McCann 410fb7ee43
Add Japanese Model (#5544)
* Add more rules to deal with Japanese UD mappings

Japanese UD rules sometimes give different UD tags to tokens with the
same underlying POS tag. The UD spec indicates these cases should be
disambiguated using the output of a tool called "comainu", but rules are
enough to get the right result.

These rules are taken from Ginza at time of writing, see #3756.

* Add new tags from GSD

This is a few rare tags that aren't in Unidic but are in the GSD data.

* Add basic Japanese sentencization

This code is taken from Ginza again.

* Add sentenceizer quote handling

Could probably add more paired characters but this will do for now. Also
includes some tests.

* Replace fugashi with SudachiPy

* Modify tag format to match GSD annotations

Some of the tests still need to be updated, but I want to get this up
for testing training.

* Deal with case with closing punct without opening

* refactor resolve_pos()

* change tag field separator from "," to "-"

* add TAG_ORTH_MAP

* add TAG_BIGRAM_MAP

* revise rules for 連体詞

* revise rules for 連体詞

* improve POS about 2%

* add syntax_iterator.py (not mature yet)

* improve syntax_iterators.py

* improve syntax_iterators.py

* add phrases including nouns and drop NPs consist of STOP_WORDS

* First take at noun chunks

This works in many situations but still has issues in others.

If the start of a subtree has no noun, then nested phrases can be
generated.

    また行きたい、そんな気持ちにさせてくれるお店です。
    [そんな気持ち, また行きたい、そんな気持ちにさせてくれるお店]

For some reason て gets included sometimes. Not sure why.

    ゲンに連れ添って円盤生物を調査するパートナーとなる。
    [て円盤生物, ...]

Some phrases that look like they should be split are grouped together;
not entirely sure that's wrong. This whole thing becomes one chunk:

    道の駅遠山郷北側からかぐら大橋南詰現道交点までの1.060kmのみ開通済み

* Use new generic get_words_and_spaces

The new get_words_and_spaces function is simpler than what was used in
Japanese, so it's good to be able to switch to it. However, there was an
issue. The new function works just on text, so POS info could get out of
sync. Fixing this required a small change to the way dtokens (tokens
with POS and lemma info) were generated.

Specifically, multiple extraneous spaces now become a single token, so
when generating dtokens multiple space tokens should be created in a
row.

* Fix noun_chunks, should be working now

* Fix some tests, add naughty strings tests

Some of the existing tests changed because the tokenization mode of
Sudachi changed to the more fine-grained A mode.

Sudachi also has issues with some strings, so this adds a test against
the naughty strings.

* Remove empty Sudachi tokens

Not doing this creates zero-length tokens and causes errors in the
internal spaCy processing.

* Add yield_bunsetu back in as a separate piece of code

Co-authored-by: Hiroshi Matsuda <40782025+hiroshi-matsuda-rit@users.noreply.github.com>
Co-authored-by: hiroshi <hiroshi_matsuda@megagon.ai>
2020-06-04 19:15:43 +02:00

145 lines
4.4 KiB
Python

# coding: utf8
from __future__ import unicode_literals
from .stop_words import STOP_WORDS
POS_PHRASE_MAP = {
"NOUN": "NP",
"NUM": "NP",
"PRON": "NP",
"PROPN": "NP",
"VERB": "VP",
"ADJ": "ADJP",
"ADV": "ADVP",
"CCONJ": "CCONJP",
}
# return value: [(bunsetu_tokens, phrase_type={'NP', 'VP', 'ADJP', 'ADVP'}, phrase_tokens)]
def yield_bunsetu(doc, debug=False):
bunsetu = []
bunsetu_may_end = False
phrase_type = None
phrase = None
prev = None
prev_tag = None
prev_dep = None
prev_head = None
for t in doc:
pos = t.pos_
pos_type = POS_PHRASE_MAP.get(pos, None)
tag = t.tag_
dep = t.dep_
head = t.head.i
if debug:
print(t.i, t.orth_, pos, pos_type, dep, head, bunsetu_may_end, phrase_type, phrase, bunsetu)
# DET is always an individual bunsetu
if pos == "DET":
if bunsetu:
yield bunsetu, phrase_type, phrase
yield [t], None, None
bunsetu = []
bunsetu_may_end = False
phrase_type = None
phrase = None
# PRON or Open PUNCT always splits bunsetu
elif tag == "補助記号-括弧開":
if bunsetu:
yield bunsetu, phrase_type, phrase
bunsetu = [t]
bunsetu_may_end = True
phrase_type = None
phrase = None
# bunsetu head not appeared
elif phrase_type is None:
if bunsetu and prev_tag == "補助記号-読点":
yield bunsetu, phrase_type, phrase
bunsetu = []
bunsetu_may_end = False
phrase_type = None
phrase = None
bunsetu.append(t)
if pos_type: # begin phrase
phrase = [t]
phrase_type = pos_type
if pos_type in {"ADVP", "CCONJP"}:
bunsetu_may_end = True
# entering new bunsetu
elif pos_type and (
pos_type != phrase_type or # different phrase type arises
bunsetu_may_end # same phrase type but bunsetu already ended
):
# exceptional case: NOUN to VERB
if phrase_type == "NP" and pos_type == "VP" and prev_dep == 'compound' and prev_head == t.i:
bunsetu.append(t)
phrase_type = "VP"
phrase.append(t)
# exceptional case: VERB to NOUN
elif phrase_type == "VP" and pos_type == "NP" and (
prev_dep == 'compound' and prev_head == t.i or
dep == 'compound' and prev == head or
prev_dep == 'nmod' and prev_head == t.i
):
bunsetu.append(t)
phrase_type = "NP"
phrase.append(t)
else:
yield bunsetu, phrase_type, phrase
bunsetu = [t]
bunsetu_may_end = False
phrase_type = pos_type
phrase = [t]
# NOUN bunsetu
elif phrase_type == "NP":
bunsetu.append(t)
if not bunsetu_may_end and ((
(pos_type == "NP" or pos == "SYM") and (prev_head == t.i or prev_head == head) and prev_dep in {'compound', 'nummod'}
) or (
pos == "PART" and (prev == head or prev_head == head) and dep == 'mark'
)):
phrase.append(t)
else:
bunsetu_may_end = True
# VERB bunsetu
elif phrase_type == "VP":
bunsetu.append(t)
if not bunsetu_may_end and pos == "VERB" and prev_head == t.i and prev_dep == 'compound':
phrase.append(t)
else:
bunsetu_may_end = True
# ADJ bunsetu
elif phrase_type == "ADJP" and tag != '連体詞':
bunsetu.append(t)
if not bunsetu_may_end and ((
pos == "NOUN" and (prev_head == t.i or prev_head == head) and prev_dep in {'amod', 'compound'}
) or (
pos == "PART" and (prev == head or prev_head == head) and dep == 'mark'
)):
phrase.append(t)
else:
bunsetu_may_end = True
# other bunsetu
else:
bunsetu.append(t)
prev = t.i
prev_tag = t.tag_
prev_dep = t.dep_
prev_head = head
if bunsetu:
yield bunsetu, phrase_type, phrase