A Novel Machine Translation Method based on Stochastic Finite Automata Model for Spoken English

Authors

  • Huiyan Li Foreign Language Department, Ganzhou Teachers College

DOI:

https://doi.org/10.3991/ijet.v14i06.10161

Keywords:

finite state models, machine translation, rational grammars, stochastic finite au-tomata

Abstract


Stochastic finite automata have been applied to a variety of fields, machine trans-lation is one of them. It can learn from data and build model automatically from training sets. Stochastic finite automata are well adapted for the constrained inte-gration of pairs of sentences for language processing. In this paper, a novel ma-chine translation method based on stochastic finite automata is proposed. The method formalized rational grammars by using stochastic finite automata. Through given pairs of source and target utterances, our proposed method will produce a series of conventional rules from which a stochastic rational grammar would be inferred, and the grammar is finally converted into a finite state automa-ton. The efficacy and accuracy of our proposed method is evaluated by a large number of English-Chinese and Chinese-English machine translation experi-ments.

Author Biography

Huiyan Li, Foreign Language Department, Ganzhou Teachers College

Huiyan Li, female, Han nationality, was born in Fuzhou, Jiangxi Province in De-cember, 1981, a lecturer in Zhangzhou Teachers College with a master’s degree. Her main research direction: discourse analysis and English teaching research.

Downloads

Published

2019-03-29

How to Cite

Li, H. (2019). A Novel Machine Translation Method based on Stochastic Finite Automata Model for Spoken English. International Journal of Emerging Technologies in Learning (iJET), 14(06), pp. 98–109. https://doi.org/10.3991/ijet.v14i06.10161

Issue

Vol. 14 No. 06 (2019)

Section

Papers

License

The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
By submitting an article the author grants to this journal the non-exclusive right to publish it. The author retains the copyright and the publishing rights for his article without any restrictions.