02010nas a2200253   4500008004100000022002000041245007500061210006900136300002200205490000700227520115600234653002401390653001901414653002101433653002701454653002301481100001501504700001601519700001401535700001601549700001601565700001401581856016101595       2020                        eng d  a16733193 (ISSN)00aResearch on Attention-Based Speech Translation Model of Datong Dialect0 aResearch on AttentionBased Speech Translation Model of Datong Di  a238–243 and 2480 v413 aDatong dialect and Mandarin had great differences in grammar and pronunciation, and because of a small amount of corpus resources, it was extremely difficult to formulate a systematic Datong dialect language standard. In addition, from the perspective of protecting local dialects and improving language communication, this paper took the speech translation of Datong dialect as an example to further study the speech translation of Shanxi local dialects with rich dialects, in order to protect the Shanxi dialect, which was one of the intangible cultural heritage, and enhanced the barrier-free language communication between Shanxi and the whole country as well as the whole world, it provided certain models and technical support. Aiming at these problems, a speech translation model similar to attention-based end-to-end speech recognition was proposed to translate the Datong dialect speech into Mandarin text, and saved the trouble of setting language standards. Experiments show that compared to the traditional cascading model, the BLEU score of the output of the result of the end-to-end model is improved based on the same experimental data.10aAttention mechanism10aDatong dialect10aEnd-to-end model10aLanguage communication10aSpeech translation1 aLiu, X.-F.1 aSong, W.-A.1 aYu, B.-G.1 aHuan, J.-X.1 aChen, X.-D.1 aLi, Z.-Y.  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85085065051&doi=10.3969%2fj.issn.1673-3193.2020.03.009&partnerID=40&md5=4809ec74fb7463e2d6ba93b38972c8b9