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Technical Program

Paper Detail

Paper:	SS-13.1
Session:	Speech Translation for Cross-Lingual Communication
Time:	Friday, May 19, 16:30 - 16:50
Presentation:	Special Session Lecture
Topic:	Special Sessions: Speech translation for cross-lingual communication
Title:	IBM MASTOR: MULTILINGUAL AUTOMATIC SPEECH-TO-SPEECH TRANSLATOR
Authors:	Yuqing Gao, Bowen Zhou, Liang Gu, Ruhi Sarikaya, Hong-Kwang Kuo, A.-V. I. Rosti, Mohamed A. Afify, Weizhong Zhu, IBM T. J. Watson Research Center, United States
Abstract:	In this paper, we describe the IBM MASTOR systems which handle spontaneous free-form speech-to-speech translation on both laptop and hand-held PDAs. Challenges include speech recognition and machine translation in adverse environments, lack of data and linguistic resources for under-studied languages, and the need to rapidly develop capabilities for new languages. Importantly, the code and models must fit within the limited memory and computational resources of hand-held devices. We describe our approaches, experience, and success in building working free-form S2S systems that can handle two language pairs (including a low-resource language).