Chinese Wordnet 的 SQLite 資料庫

資料檔位於 http://lope.linguistics.ntu.edu.tw/cwnvis/data/cwn_dirty.sqlite 主要有三個資料表：

cwn_lemma: 記錄 6 碼的 lemma_id 以及 lemma_type
cwn_sense: 在原 lemmaid 擴增 2 碼成為 8 碼的 sense_id，以及 sense_def
cwn_goodSynset: 記錄 synset member 的 sense_id

Chinese Wordnet 的 Python NLTK 模組

先安裝 NLTK WordNet 模組 (http://nltk.org) 請 clone 本資料夾後覆蓋到 nltk_data/corpora 即可使用取得第一個詞意： from nltk.corpus import wordnet wordnet.all_synsets()[0].definition #nltk 2.0 wordnet.all_synsets()[0].definition() #nltk 3.0

CKIP 中研院斷詞服務

請自行申請帳號 (http://ckipsvr.iis.sinica.edu.tw) 並寫入 ckip.py from ckip import seg username='your username' password='your password'

詞意相似度計算

====== from test import similar similar(seg(def1),seg(def2))

Name		Name	Last commit message	Last commit date
Latest commit History 81 Commits
cluster		cluster
CWNMOE-def-ex.csv		CWNMOE-def-ex.csv
CWNMOE-def-ex.py		CWNMOE-def-ex.py
Makefile		Makefile
README.md		README.md
access_mongodb.py		access_mongodb.py
adj.exc		adj.exc
adv.exc		adv.exc
asbc.txt		asbc.txt
before_evaluation_matrix.csv		before_evaluation_matrix.csv
ckip.py		ckip.py
cntlist.rev		cntlist.rev
concordanced.csv		concordanced.csv
cwn_dirty.csv		cwn_dirty.csv
cwn_dirty.py		cwn_dirty.py
data.adj		data.adj
data.adv		data.adv
data.noun		data.noun
data.py		data.py
data.verb		data.verb
dict-revised.csv		dict-revised.csv
discuss.txt		discuss.txt
distance.py		distance.py
evaluate_matrix.csv		evaluate_matrix.csv
evaluate_matrix2.csv		evaluate_matrix2.csv
evaluate_matrix4.csv		evaluate_matrix4.csv
evaluate_table.py		evaluate_table.py
evaluate_table.txt		evaluate_table.txt
gloss.adj		gloss.adj
index.adj		index.adj
index.adv		index.adv
index.noun		index.noun
index.py		index.py
index.sense		index.sense
index.verb		index.verb
lemma_Jseg_example.csv		lemma_Jseg_example.csv
lemma_definition_example.csv		lemma_definition_example.csv
lemma_type.txt		lemma_type.txt
lexnames		lexnames
manual_evaluate_popping_asbc_with_100_original_rich.csv		manual_evaluate_popping_asbc_with_100_original_rich.csv
manual_evaluate_popping_asbc_with_100_rich_popped.csv		manual_evaluate_popping_asbc_with_100_rich_popped.csv
manual_evaluate_popping_asbc_with_original_rich.py		manual_evaluate_popping_asbc_with_original_rich.py
manual_evaluate_popping_asbc_with_rich_popped.py		manual_evaluate_popping_asbc_with_rich_popped.py
merged.csv		merged.csv
noun.exc		noun.exc
plurk.txt		plurk.txt
pop.py		pop.py
popped.csv		popped.csv
popped_debug_CWNMOE_asbc.csv		popped_debug_CWNMOE_asbc.csv
popped_debug_CWNMOE_asbc_lemmas.txt		popped_debug_CWNMOE_asbc_lemmas.txt
popping.csv		popping.csv
popping_debug_CWNMOE.csv		popping_debug_CWNMOE.csv
popping_debug_CWNMOE_asbc.csv		popping_debug_CWNMOE_asbc.csv
popping_debug_CWNMOE_lemmas.txt		popping_debug_CWNMOE_lemmas.txt
similar_vector.csv		similar_vector.csv
sort_popped_lemma_by_sense_number.py		sort_popped_lemma_by_sense_number.py
sorted_lemma.csv		sorted_lemma.csv
sorted_popped_debug_CWNMOE_asbc_lemmas.csv		sorted_popped_debug_CWNMOE_asbc_lemmas.csv
sorted_unpopped_debug_CWNMOE_lemmas.csv		sorted_unpopped_debug_CWNMOE_lemmas.csv
stopwords.csv		stopwords.csv
stopwords.py		stopwords.py
synset_id.adj		synset_id.adj
test.py		test.py
test1.py		test1.py
turtle.cwn		turtle.cwn
unmerge.csv		unmerge.csv
unpopped_debug_CWNMOE.csv		unpopped_debug_CWNMOE.csv
unpopped_debug_CWNMOE_lemmas.txt		unpopped_debug_CWNMOE_lemmas.txt
verb.exc		verb.exc
vrt.py		vrt.py
wndb		wndb

chienjchienj/wordnet

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