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- W83095340 abstract "Theconventional approach intext-based machine translation (MT) is to translate complete sentences, which are conveniently indicated by sentence boundary markers. However, since such boundary markers are not available for speech, new methods are required that define an optimal unit for translation. Our experimental results show that with a segment length optimized for a particular MT system, intrasentence segmentation can improve translation performance (measured in BLEU) by up to 11% for Arabic Broadcast Conversation (BC) and 6% for Arabic Broadcast News (BN). We show that acoustic segmentation that minimizes Word Error Rate (WER) may not give the best translation performance. We improve upon it by automaticallyresegmenting the ASR output in a way that isoptimized for translation and argue that it might be necessary for different stages of a Spoken Language Translation (SLT) system to define their own optimal units." @default.
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- W83095340 date "2007-08-27" @default.
- W83095340 modified "2023-09-23" @default.
- W83095340 title "Optimizing sentence segmentation for spoken language translation" @default.
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- W83095340 doi "https://doi.org/10.21437/interspeech.2007-655" @default.
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