How Many Ways Can Google Translate Say It?: Synonym Use in Neural Machine Translation Output

Diplôme Master How Many Ways Can Google Translate Say It?: Synonym Use in Neural Machine Translation Output eng 2018 author Gullapalli Aparna 833741 director Bouillon Pierrette 0000-0002-8854-6360 26962 This study attempts to determine whether a neural machine translation system that encounters repeated occurrences of a certain concept, expressed through a variety of synonyms, will consistently translate each synonym a given way or use multiple target-language synonyms as translations for each source-language synonym. The frequency with which the system recasts the meaning expressed by the source-language synonym using constructions involving different parts of speech is also considered. The study analyzes English translations generated by Google Translate for selected original French earnings releases. The translations generated by Google Translate are also compared to published English translations, where available, and the characteristics of both types of translations with respect to synonym use are compared to those of selected original English earnings releases. Neural machine translation Variation Synonymy Traduction automatique neuronale Synonymie Dewey 418.02 Dewey 410.2 Maîtrise universitaire en Traduction : mention Technologies de la traduction 112 Département de traitement informatique multilingue 92 false 9b1248b5-82cb-4c56-81a3-a747eb2329cd Master thesis Public GULLAPALLI_Aparna_thesis.pdf 1680796 application/pdf openAccess Faculté de traduction et d'interprétation / Département de traitement informatique multilingue

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How Many Ways Can Google Translate Say It?: Synonym Use in Neural Machine Translation Output				2018	957	600

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Gullapalli, Aparna