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Machine Translation of Concise State Sentences for Quantifier Phrases
Author(s) -
Min Wu
Publication year - 2019
Publication title -
journal of education, teaching and social studies
Language(s) - English
Resource type - Journals
eISSN - 2642-2336
pISSN - 2642-2328
DOI - 10.22158/jetss.v1n2p138
Subject(s) - computer science , machine translation , example based machine translation , natural language processing , sentence , artificial intelligence , translation (biology) , machine translation software usability , transfer based machine translation , dynamic and formal equivalence , evaluation of machine translation , computer assisted translation , synchronous context free grammar , state (computer science) , algorithm , biochemistry , chemistry , messenger rna , gene
With the development of deep learning methods, the machine translation system based on deep neural network has reached a very high accuracy, but for some daily Chinese phenomenon machine translation system is still not able to translate correctly. In this paper, we study a sentence that often appears in Chinese spoken language, that is, a simple state sentence composed of quantitative phrases, and improve the existing machine translation system. The external helper program constructed in this paper is compatible with the current mainstream network translation systems, greatly improving the translation effect of these translation systems on the concise state sentences composed of quantitative phrases.

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