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Statistical machine translation (SMT) systems for spoken languages suffer from conversational speech phenomena, in particular, the presence of speech disfluencies. We examine the impact of disfluencies from broadcast conversation data on our hierarchical phrase-based SMT system and implement automatic disfluency removal approaches for cleansing the MT input. We evaluate the efficacy of proposed approaches...
In order to show the performances between different speech recognition engines in Chinese Mandarin recognition, experiments are designed in this paper to compare the recognition performances on Chinese Mandarin between HTK and Sphinx, which are the two most popular open source automatic speech recognition systems. Both isolated words recognition and continuous sentences recognition were investigated...
We summarize recent progress on SRI's IraqCommtrade Iraqi Arabic-English two-way speech-to-speech translation system. In the past year we made substantial developments in our speech recognition and machine translation technology, leading to significant improvements in both accuracy and speed of the IraqComm system. On the 2008 NIST-evaluation dataset our twoway speech-to-text (S2T) system achieved...
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