Paper: Enriching Spoken Language Translation with Dialog Acts

ACL ID P08-2057
Title Enriching Spoken Language Translation with Dialog Acts
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008

Current statistical speech translation ap- proaches predominantly rely on just text tran- scripts and do not adequately utilize the rich contextual information such as conveyed through prosody and discourse function. In this paper, we explore the role of context char- acterized through dialog acts (DAs) in statis- tical translation. We demonstrate the integra- tion of the dialog acts in a phrase-based statis- tical translation framework, employing 3 lim- ited domain parallel corpora (Farsi-English, Japanese-English and Chinese-English). For all three language pairs, in addition to produc- ing interpretable DA enriched target language translations, we also obtain improvements in terms of objective evaluation metrics such as lexical selection accuracy and BLEU score.