By Topic

Incorporating discourse context in spoken language translation through dialog acts

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Sridhar, V.K.R. ; Speech Anal. & Interpretation Lab., Univ. of Southern California, Los Angeles, CA ; Narayanan, S. ; Bangalore, S.

Current statistical speech translation approaches predominantly rely on just text transcripts and are limited in their use of rich contextual information such as prosody and discourse function. In this paper, we explore the role of discourse context characterized through dialog acts (DAs) in statistical translation. We present a bag-of-words (BOW) model that exploits DA tags in translation and contrast it with a phrase table interpolation approach presented in previous work. In addition to producing interpretable DA-annotated target language translations through our framework, we also obtain consistent improvements in terms of automatic evaluation metrics such as lexical selection accuracy and BLEU score using both the models. We also analyze the performance improvements per DA tag. Our experiments indicate that questions, acknowledgments, agreements and appreciations contribute to more improvement in comparison to statements.

Published in:

Spoken Language Technology Workshop, 2008. SLT 2008. IEEE

Date of Conference:

15-19 Dec. 2008