Neural machine translation of chemical nomenclature between English and Chinese

Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially in translation of chemical names between Englis...

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Autores principales: Xu, Tingjun, Chen, Weiming, Zhou, Junhong, Dai, Jingfang, Li, Yingyong, Zhao, Yingli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460765/
https://www.ncbi.nlm.nih.gov/pubmed/33431023
http://dx.doi.org/10.1186/s13321-020-00457-0
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author Xu, Tingjun
Chen, Weiming
Zhou, Junhong
Dai, Jingfang
Li, Yingyong
Zhao, Yingli
author_facet Xu, Tingjun
Chen, Weiming
Zhou, Junhong
Dai, Jingfang
Li, Yingyong
Zhao, Yingli
author_sort Xu, Tingjun
collection PubMed
description Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially in translation of chemical names between English and Chinese, which are the two most used languages of chemical nomenclature in the world. We applied two types of neural networks in the task of chemical nomenclature translation between English and Chinese, and made a comparison with an existing rule based machine translation tool. The result shows that deep learning based approaches have a great chance to precede rule based translation tools in machine translation of chemical nomenclature between English and Chinese.
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spelling pubmed-74607652020-09-02 Neural machine translation of chemical nomenclature between English and Chinese Xu, Tingjun Chen, Weiming Zhou, Junhong Dai, Jingfang Li, Yingyong Zhao, Yingli J Cheminform Research Article Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially in translation of chemical names between English and Chinese, which are the two most used languages of chemical nomenclature in the world. We applied two types of neural networks in the task of chemical nomenclature translation between English and Chinese, and made a comparison with an existing rule based machine translation tool. The result shows that deep learning based approaches have a great chance to precede rule based translation tools in machine translation of chemical nomenclature between English and Chinese. Springer International Publishing 2020-08-31 /pmc/articles/PMC7460765/ /pubmed/33431023 http://dx.doi.org/10.1186/s13321-020-00457-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Xu, Tingjun
Chen, Weiming
Zhou, Junhong
Dai, Jingfang
Li, Yingyong
Zhao, Yingli
Neural machine translation of chemical nomenclature between English and Chinese
title Neural machine translation of chemical nomenclature between English and Chinese
title_full Neural machine translation of chemical nomenclature between English and Chinese
title_fullStr Neural machine translation of chemical nomenclature between English and Chinese
title_full_unstemmed Neural machine translation of chemical nomenclature between English and Chinese
title_short Neural machine translation of chemical nomenclature between English and Chinese
title_sort neural machine translation of chemical nomenclature between english and chinese
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460765/
https://www.ncbi.nlm.nih.gov/pubmed/33431023
http://dx.doi.org/10.1186/s13321-020-00457-0
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