z-logo
open-access-imgOpen Access
Research on Process of the Bilingual Corpus Alignment Tool
Author(s) -
Dandan Zhang
Publication year - 2022
Publication title -
xue xi yu jiao yu
Language(s) - English
Resource type - Journals
ISSN - 2251-2802
DOI - 10.18282/l-e.v10i5.2664
Subject(s) - computer science , process (computing) , sentence , natural language processing , artificial intelligence , machine translation , software , parallel corpora , programming language
As language researchers and translators gradually realize the importance of the development of corpus, many institutions at home and abroad have begun to devote themselves to the research and construction of corpus. During the process of corpus, bilingual corpus alignment is an indispensable step. However, the alignment software based on the existing alignment technology still can’t meet the needs of users or translators. On the basis of previous studies, this paper mainly makes some beneficial attempts on the alignment process of sentence level automatic alignment technology in bilingual corpus. In this paper, Chinese and English files are imported into the corpus alignment tools and aligned one by one according to the translation units of sentence level. This paper presents the process of corpus alignment and proposes corresponding solutions to the errors in the process, to further improve the efficiency of bilingual corpus alignment.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here