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(2009 - present)___________] Volume number: ____________________ Issue number (if known): ____________________ Article or page number: ____________________ Lookup IOP Conference Series: Materials Science and Engineering Paper • The following article is OPEN ACCESS The Impact of Machine Translation and Computer-aided Translation on Translators Hao Peng Published under licence by IOP Publishing Ltd IOP Conference Series: Materials Science and Engineering, Volume 322 , Chapter 4 Information Technology Download Article PDF Figures Tables References 261 Total downloads Turn off MathJax Turn on MathJax Share this article * Share this content via email * Share on Facebook * Share on Twitter * Share on Google+ * Share on CiteULike * Share on Mendeley Article information Author e-mails allenholdshisown@qq.com Author affiliations Foreign Languages School, Wuhan Polytechnic University, Wuhan, China, 430024 Citation Hao Peng 2018 IOP Conf. Ser.: Mater. Sci. Eng. 322 052024 Create citation alert DOI https://doi.org/10.1088/1757-899X/322/5/052024 Buy this article in print Journal RSS feed Sign up for new issue notifications 1757-899X/322/5/052024 Abstract Under the context of globalization, communications between countries and cultures are becoming increasingly frequent, which make it imperative to use some techniques to help translate. This paper is to explore the influence of computer-aided translation on translators, which is derived from the field of the computer-aided translation (CAT) and machine translation (MT). Followed by an introduction to the development of machine and computer-aided translation, it then depicts the technologies practicable to translators, which are trying to analyze the demand of designing the computer-aided translation so far in translation practice, and optimize the designation of computer-aided translation techniques, and analyze its operability in translation. The findings underline the advantages and disadvantages of MT and CAT tools, and the serviceability and future development of MT and CAT technologies. Finally, this thesis probes into the impact of these new technologies on translators in hope that more translators and translation researchers can learn to use such tools to improve their productivity. Export citation and abstract BibTeX RIS cc-by Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. References * [1] Seneff S. 1992 TINA: A Natural Language System for Spoken Language Applications Computational Linguistics 18 60-88 * [2] Brown P.F., Della Pietra S.A., Della Pietra V.J. and Mercer R.L. 1993 The Mathematics of Machine Translation: Parameter Estimation Computational Linguistics 19 260-314 * [3] Och F.J., Tillmann C. and Ney H. 1999 Improved Alignment Models for Statistical Machine Translation EMNLP’99 18-28 * [4] Kuhn R. and de Mori R. 1998 Sentence Interpretation In Spoken Dialogues with Computers (R. de Mori, ed.) 480-525 Academic Press * [5] Miller S., Bobrow R., Ingria R. and Schwartz R. 1994 Hidden Understanding Models of Natural Language Proceedings of the Association of Computational Linguistics 21-33 Export references: BibTeX RIS Back to top 10.1088/1757-899X/322/5/052024 Related content brightrecruits.com jobs * 1. 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