Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model

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Main Author: Yongli Tian
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161555/?tool=EBI
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author Yongli Tian
author_facet Yongli Tian
author_sort Yongli Tian
collection DOAJ
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issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-7003c04cbd39481ebc86dc5dca8a4b982025-08-20T03:20:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01206Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF modelYongli Tianhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161555/?tool=EBI
spellingShingle Yongli Tian
Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model
PLoS ONE
title Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model
title_full Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model
title_fullStr Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model
title_full_unstemmed Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model
title_short Syntactic complexity recognition and analysis in Chinese-English machine translation: A comparative study based on the BLSTM-CRF model
title_sort syntactic complexity recognition and analysis in chinese english machine translation a comparative study based on the blstm crf model
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161555/?tool=EBI
work_keys_str_mv AT yonglitian syntacticcomplexityrecognitionandanalysisinchineseenglishmachinetranslationacomparativestudybasedontheblstmcrfmodel