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Cross-Lingual Bitext Mining

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
0
평가표
4
보존된 평가 기록
8

Cross-lingual bitext mining is the task of mining sentence pairs that are translations of each other from large text corpora.

데이터셋

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BUCC

The BUCC mining task is a shared task on parallel sentence extraction from two monolingual corpora with a subset of them assumed to be parallel, and that has been available since 2016. For each language pair, the shared task provides a monolingual corpus for each language and a gold mapping list containing true translation pairs. These pairs are the ground truth. The task is to construct a list of translation pairs from the monolingual corpora. The constructed list is compared to the ground truth, and evaluated in terms of the F1 measure. Source: Language-agnostic BERT Sentence Embedding Image Source: https://comparable.limsi.fr/bucc2017/

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.