Comments (2)
That's a good point. But unfortunately open-korean-text does not take context into account. So, it is not possible for now. There's an ml-based korean text processor https://github.com/kakao/khaiii. It looks promising but I'm not sure it it has english documentation.
from open-korean-text.
ah, if you're considering all possible stems, it is possible with open-korean-text. I'm not sure if https://github.com/open-korean-text/open-korean-text/blob/master/src/main/scala/org/openkoreantext/processor/tokenizer/KoreanTokenizer.scala#L108 would return multiple verb/adjective candidates. I will need to test it a few times. (Sorry, I haven't worked on the okt code quite a bit.)
from open-korean-text.
Related Issues (20)
- Incorrect stem for 외로워 HOT 4
- Error in loading class on ElasticSearch Plugin HOT 5
- 성명 고유명사 처리 관련 오류 HOT 1
- java.lang.VerifyError: Verifier rejected class org.openkoreantext.processor.OpenKoreanTextProcessor HOT 1
- Add ability to prioritize/constrain `tokenize` results HOT 3
- I want to add user-dictionary. is it possible?? HOT 1
- Feature Request: Ability to trigger load of resources without calling the tokenize function HOT 4
- 토크나이징 결과 미스매치 HOT 2
- Uncommon stem for 주세요
- Memory Leak HOT 5
- maven cli exec error on running examples
- unexpected tokenization for "8시즌" HOT 3
- heroku application error HOT 1
- 형태소를 다시 문장으로 복구하는 알고리즘은 없나요? HOT 1
- tokenizing issue with "여행가고싶어"
- Normalizing Issue HOT 1
- NoSuchElementException thrown in KoreanStemmer.scala
- "Failed to fetch" error on website
- 240
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from open-korean-text.