Collocation¶
Collocation related modeling class
-
class
pororo.tasks.collocation.PororoCollocationFactory(task: str, lang: str, model: Optional[str])[source]¶ Bases:
pororo.tasks.utils.base.PororoFactoryBaseConduct collocation search using index file
English (collocate.en)
dataset: enwiki-20180420
metric: N/A
Korean (kollocate)
dataset: kowiki-20200720
metric: N/A
Chinese (collocate.zh)
dataset: zhwiki-20180420
metric: N/A
Japanse (collocate.ja)
dataset: jawiki-20180420
metric: N/A
- Parameters
text (str) – text to be inputted for collocation search
- Returns
searched collocation splitted by part of speech
- Return type
Examples
>>> col = Pororo(task="col", lang="ko") >>> col("먹") 먹 as verb noun 것(39), 수(29), 음식(23), 등(16), 고기(14), .. verb 하(33), 않(21), 살(17), 즐기(11), 굽(9), .. adverb 많이(10), 주로(7), 다(5), 같이(4), 잘(4), ... determiner 다른(5), 그(2), 여러(1), 세(1), 몇몇(1), 새(1) adjective 싶(5), 어리(1), 편하(1), 작(1), 좋(1), 손쉽(1), 못하(1) 먹 as noun noun 붓(3), 종이(2), 묘선(1), 청자(1), 은장도(1), 제조(1), .. verb 의하(1), 그리(1), 찍(1), 차(1), 늘어놓(1) adverb 하지만(1) >>> col = Pororo(task="collocation", lang="ja") >>> col("東京") {'noun': {'noun': [('都', 137), ('家', 21), ('年', 18), ('府', 17), ('市', 12), ('式', 12), ('デザイナー', 10), ('日', 10), ('都立', 9), ('県', 9), ('出身', 8), ('証券', 8), ('後', 6)]}} >>> col = Pororo(task="col", lang="en") >>> col("george") {'noun': {'noun': [('washington', 13), ('gen.', 7)]}} >>> col = Pororo(task="col", lang="zh") >>> col("世界杯") {'noun': {'noun': [('2002年', 72), ('足球赛', 71), ('冠军', 53), ('2006年', 39), ('決賽', 35), ('决赛', 30), ('1998年', 26), ('外圍賽', 25), ('2010年', 23), ('2018年', 22), ('冠軍', 21), ...}}