jhgan00/ko-sentence-transformers
한국어 사전학습 모델을 활용한 문장 임베딩
When you have Korean text and need to find how similar different sentences are, this project helps you convert those sentences into numerical representations. You input Korean sentences, and it outputs a score or ranking of how semantically close they are to each other. This is useful for anyone working with large volumes of Korean text who needs to identify duplicates, group similar content, or understand contextual relationships.
209 stars. No commits in the last 6 months.
Use this if you need to compare the meaning of Korean sentences accurately, such as for finding highly related phrases or identifying near-duplicate content.
Not ideal if your primary need is for tasks other than semantic similarity, like traditional keyword matching, or if you are working with languages other than Korean.
Stars
209
Forks
16
Language
Python
License
CC-BY-SA-4.0
Category
Last pushed
May 07, 2023
Commits (30d)
0
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