AfricanWordNet是一个用于非洲语言WordNet的库。
项目描述
AfricanWordNet: 非洲语言WordNet的实现
此库扩展了OMW,该库在NLTK中实现,以添加对以下非洲语言的支持。
- Sepedi (nso)
- Xitsonga (tsn)
- Tshivenda (ven)
- isiZulu (zul)
- isiXhosa (xho)
需求
安装
- 从Pypi
pip install africanwordnet
- 从源码
pip install https://github.com/JosephSefara/AfricanWordNet.git
引用论文
@inproceedings{sefara2020practical,
title={Paper Title},
author={Sefara, Tshephisho and Mokgonyane, Tumisho and Marivate, Vukosi},
booktitle={Proceedings of the Eleventh Global Wordnet Conference},
paages={},
year={2020},
}
用法
>>> from nltk.corpus import wordnet as wn
>>> import africanwordnet
>>> wn.langs()
['nso', 'tsn', 'ven', 'zul', 'xho']
Setswana WordNet
>>> wn.synsets('phêpafatsa',lang=('tsn'))
[Synset('scavenge.v.04'),
Synset('tidy.v.01'),
Synset('refine.v.04'),
Synset('refine.v.03'),
Synset('purify.v.01'),
Synset('purge.v.04'),
Synset('purify.v.02'),
Synset('clean.v.08'),
Synset('clean.v.01'),
Synset('houseclean.v.01')]
>>> wn.lemmas('phêpafatsa', lang='tsn')
[Lemma('scavenge.v.04.phêpafatsa'),
Lemma('tidy.v.01.phêpafatsa'),
Lemma('refine.v.04.phêpafatsa'),
Lemma('refine.v.03.phêpafatsa'),
Lemma('purify.v.01.phêpafatsa'),
Lemma('purge.v.04.phêpafatsa'),
Lemma('purify.v.02.phêpafatsa'),
Lemma('clean.v.08.phêpafatsa'),
Lemma('clean.v.01.phêpafatsa'),
Lemma('houseclean.v.01.phêpafatsa')]
>>> wn.synset('purify.v.01').lemma_names('tsn')
['phêpafatsa']
>>> lemma = wn.lemma('purify.v.01.phêpafatsa', lang='tsn')
>>> whole_lemma.lang()
'tsn'
Sepedi WordNet
>>> wn.synsets('taelo',lang=('nso'))
[Synset('call.n.12'),
Synset('mandate.n.03'),
Synset('command.n.01'),
Synset('order.n.01'),
Synset('commission.n.06'),
Synset('commandment.n.01'),
Synset('directive.n.01'),
Synset('injunction.n.01')]
>>> wn.lemmas('taelo', lang='nso')
[Lemma('call.n.12.taelo'),
Lemma('mandate.n.03.taelo'),
Lemma('command.n.01.taelo'),
Lemma('order.n.01.taelo'),
Lemma('commission.n.06.taelo'),
Lemma('commandment.n.01.taelo'),
Lemma('directive.n.01.taelo'),
Lemma('injunction.n.01.taelo')]
>>> wn.synset('call.n.12').lemma_names('nso')
['taelo']
>>> lemma = wn.lemma('call.n.12.taelo', lang='nso')
>>> whole_lemma.lang()
'nso'
isiZulu WordNet
>>> wn.synsets('iqoqo', lang='zul')
[Synset('whole.n.02'),
Synset('conspectus.n.01'),
Synset('overview.n.01'),
Synset('sketch.n.03'),
Synset('compilation.n.01'),
Synset('collection.n.01'),
Synset('team.n.02'),
Synset('set.n.01')]
>>> wn.lemmas('iqoqo', lang='zul')
[Lemma('whole.n.02.iqoqo'),
Lemma('conspectus.n.01.iqoqo'),
Lemma('overview.n.01.iqoqo'),
Lemma('sketch.n.03.iqoqo'),
Lemma('compilation.n.01.iqoqo'),
Lemma('collection.n.01.iqoqo'),
Lemma('team.n.02.iqoqo'),
Lemma('set.n.01.iqoqo')]
>>> wn.synset('whole.n.02').lemma_names('zul')
['iqoqo']
>>> whole_lemma = wn.lemma('whole.n.02.iqoqo', lang='zul')
>>> whole_lemma.lang()
'zul'
isiXhosa WordNet
>>> wn.synsets('imali',lang=('xho'))
[Synset('finance.n.03'),
Synset('wealth.n.04'),
Synset('capital.n.01'),
Synset('store.n.02'),
Synset('credit.n.02'),
Synset('money.n.01'),
Synset('currency.n.01'),
Synset('purse.n.02'),
Synset('franc.n.01'),
Synset('cent.n.01')]
>>> wn.lemmas('imali', lang='xho')
[Lemma('finance.n.03.imali'),
Lemma('wealth.n.04.imali'),
Lemma('capital.n.01.imali'),
Lemma('store.n.02.imali'),
Lemma('credit.n.02.imali'),
Lemma('money.n.01.imali'),
Lemma('currency.n.01.imali'),
Lemma('purse.n.02.imali'),
Lemma('franc.n.01.imali'),
Lemma('cent.n.01.imali')]
>>> wn.synset('wealth.n.04').lemma_names('xho')
['imali']
>>> lemma = wn.lemma('wealth.n.04.imali', lang='xho')
>>> lemma.lang()
'xho'
Tshivenda WordNet
>>> wn.synsets('tshifanyiso',lang=('ven'))
[Synset('picture.n.05'),
Synset('word_picture.n.01'),
Synset('portrayal.n.01')]
>>> wn.lemmas('tshifanyiso', lang='ven')
[Lemma('picture.n.05.tshifanyiso'),
Lemma('word_picture.n.01.tshifanyiso'),
Lemma('portrayal.n.01.tshifanyiso')]
>>> wn.synset('picture.n.05').lemma_names('ven')
['tshifanyiso']
>>> lemma = wn.lemma('picture.n.05.tshifanyiso', lang='ven')
>>> whole_lemma.lang()
'ven'
查找相关单词
Sepedi中的单词taelo与
- tagafalo
- molao
- tlhalošo
words = set()
synsets = wn.synsets('taelo',lang=('nso'))
for synset in synsets: # synset is in english
for hypo in synset.hyponyms():
for lemma in hypo.lemmas("nso"):
words.add(lemma.name())
print('taelo', '---', words)
taelo --- {'taelo', 'tagafalo', 'molao', 'tlhalošo'}
项目详情
关闭
africanwordnet-0.0.1.tar.gz 的哈希值
算法 | 哈希摘要 | |
---|---|---|
SHA256 | 4c8d4c69493888a628c5ea1090aabbbcce9945dfd55987bdf0fd1432e4b0a8fa |
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MD5 | be02ca764f904fb2653fe2293362e56c |
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BLAKE2b-256 | cd37176176368105595e22c1d9924bdf018d369005b81679a28089d7495b99e0 |
关闭
africanwordnet-0.0.1-py3-none-any.whl 的哈希值
算法 | 哈希摘要 | |
---|---|---|
SHA256 | c978a52cb5a7ffe72f87630a3725a244acd46993ef40b3acf709d620495e436c |
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MD5 | 36311556915334774fc95f67decf9339 |
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BLAKE2b-256 | 03f43d85ef2a03169d470c0ba746b2d313a3f691423f59692ec45a91f9698ea5 |