update lang/zh (#4103)

* update lang/zh

* update lang/zh
This commit is contained in:
黎谢鹏 2019-08-12 16:37:48 +08:00 committed by Ines Montani
parent 1362f793cf
commit 250a54414b
5 changed files with 270 additions and 7 deletions

106
.github/contributors/phiedulxp.md vendored Normal file
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@ -0,0 +1,106 @@
# spaCy contributor agreement
This spaCy Contributor Agreement (**"SCA"**) is based on the
[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
The SCA applies to any contribution that you make to any product or project
managed by us (the **"project"**), and sets out the intellectual property rights
you grant to us in the contributed materials. The term **"us"** shall mean
[ExplosionAI GmbH](https://explosion.ai/legal). The term
**"you"** shall mean the person or entity identified below.
If you agree to be bound by these terms, fill in the information requested
below and include the filled-in version with your first pull request, under the
folder [`.github/contributors/`](/.github/contributors/). The name of the file
should be your GitHub username, with the extension `.md`. For example, the user
example_user would create the file `.github/contributors/example_user.md`.
Read this agreement carefully before signing. These terms and conditions
constitute a binding legal agreement.
## Contributor Agreement
1. The term "contribution" or "contributed materials" means any source code,
object code, patch, tool, sample, graphic, specification, manual,
documentation, or any other material posted or submitted by you to the project.
2. With respect to any worldwide copyrights, or copyright applications and
registrations, in your contribution:
* you hereby assign to us joint ownership, and to the extent that such
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* you agree that you will not assert any moral rights in your contribution
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* Each contribution that you submit is and shall be an original work of
authorship and you can legally grant the rights set out in this SCA;
* to the best of your knowledge, each contribution will not violate any
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property rights; and
* each contribution shall be in compliance with U.S. export control laws and
other applicable export and import laws. You agree to notify us if you
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participation in the project, including the fact that you have signed the SCA.
6. This SCA is governed by the laws of the State of California and applicable
U.S. Federal law. Any choice of law rules will not apply.
7. Please place an “x” on one of the applicable statement below. Please do NOT
mark both statements:
* [x] I am signing on behalf of myself as an individual and no other person
or entity, including my employer, has or will have rights with respect to my
contributions.
* [ ] I am signing on behalf of my employer or a legal entity and I have the
actual authority to contractually bind that entity.
## Contributor Details
| Field | Entry |
|------------------------------- | -------------------- |
| Name | Xiepeng Li |
| Company name (if applicable) | |
| Title or role (if applicable) | |
| Date | 20190810 |
| GitHub username | phiedulxp |
| Website (optional) | |

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@ -6,7 +6,7 @@ from ...language import Language
from ...tokens import Doc
from ..tokenizer_exceptions import BASE_EXCEPTIONS
from .stop_words import STOP_WORDS
from .tag_map import TAG_MAP
class ChineseDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
@ -14,6 +14,7 @@ class ChineseDefaults(Language.Defaults):
use_jieba = True
tokenizer_exceptions = BASE_EXCEPTIONS
stop_words = STOP_WORDS
tag_map = TAG_MAP
writing_system = {"direction": "ltr", "has_case": False, "has_letters": False}
@ -44,4 +45,4 @@ class Chinese(Language):
return Doc(self.vocab, words=words, spaces=spaces)
__all__ = ["Chinese"]
__all__ = ["Chinese"]

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@ -9,10 +9,12 @@ Example sentences to test spaCy and its language models.
>>> docs = nlp.pipe(sentences)
"""
# from https://zh.wikipedia.org/wiki/汉语
sentences = [
"蘋果公司正考量用一億元買下英國的新創公司",
"自駕車將保險責任歸屬轉移至製造商",
"舊金山考慮禁止送貨機器人在人行道上行駛",
"倫敦是英國的大城市",
"作为语言而言,为世界使用人数最多的语言,目前世界有五分之一人口做为母语。",
"汉语有多种分支,当中官话最为流行,为中华人民共和国的国家通用语言(又称为普通话)、以及中华民国的国语。",
"此外,中文还是联合国正式语文,并被上海合作组织等国际组织采用为官方语言。",
"在中国大陆,汉语通称为“汉语”。",
"在联合国、台湾、香港及澳门,通称为“中文”。",
"在新加坡及马来西亚,通称为“华语”。"
]

107
spacy/lang/zh/lex_attrs.py Normal file
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@ -0,0 +1,107 @@
# coding: utf8
from __future__ import unicode_literals
import re
from ...attrs import LIKE_NUM
_single_num_words = [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"十一",
"十二",
"十三",
"十四",
"十五",
"十六",
"十七",
"十八",
"十九",
"廿",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"拾壹",
"拾贰",
"拾叁",
"拾肆",
"拾伍",
"拾陆",
"拾柒",
"拾捌",
"拾玖"
]
_count_num_words = [
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
]
_base_num_words = [
"",
"",
"",
"",
"亿",
"",
"",
"",
""
]
def like_num(text):
if text.startswith(("+", "-", "±", "~")):
text = text[1:]
text = text.replace(",", "").replace(
".", "").replace("", "").replace("", "")
if text.isdigit():
return True
if text.count("/") == 1:
num, denom = text.split("/")
if num.isdigit() and denom.isdigit():
return True
if text in _single_num_words:
return True
if re.match('^((' + '|'.join(_count_num_words) + '){1}'
+ '(' + '|'.join(_base_num_words) + '){1})+'
+ '(' + '|'.join(_count_num_words) + ')?$', text):
return True
return False
LEX_ATTRS = {LIKE_NUM: like_num}

47
spacy/lang/zh/tag_map.py Normal file
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# coding: utf8
from __future__ import unicode_literals
from ...symbols import POS, PUNCT, SYM, ADJ, CONJ, CCONJ, NUM, DET, ADV, ADP, X, VERB
from ...symbols import NOUN, PROPN, PART, INTJ, SPACE, PRON, AUX
# The Chinese part-of-speech tagger uses the OntoNotes 5 version of the Penn Treebank tag set.
# We also map the tags to the simpler Google Universal POS tag set.
TAG_MAP = {
"AS": {POS: PART},
"DEC": {POS: PART},
"DEG": {POS: PART},
"DER": {POS: PART},
"DEV": {POS: PART},
"ETC": {POS: PART},
"LC": {POS: PART},
"MSP": {POS: PART},
"SP": {POS: PART},
"BA": {POS: X},
"FW": {POS: X},
"IJ": {POS: INTJ},
"LB": {POS: X},
"ON": {POS: X},
"SB": {POS: X},
"X": {POS: X},
"URL": {POS: X},
"INF": {POS: X},
"NN": {POS: NOUN},
"NR": {POS: NOUN},
"NT": {POS: NOUN},
"VA": {POS: VERB},
"VC": {POS: VERB},
"VE": {POS: VERB},
"VV": {POS: VERB},
"CD": {POS: NUM},
"M": {POS: NUM},
"OD": {POS: NUM},
"DT": {POS: DET},
"CC": {POS: CCONJ},
"CS": {POS: CONJ},
"AD": {POS: ADV},
"JJ": {POS: ADJ},
"P": {POS: ADP},
"PN": {POS: PRON},
"PU": {POS: PUNCT}
}