Advantages of System Combination for Spoken Language Translation
Evgeny Matusov
Broschiertes Buch

Advantages of System Combination for Spoken Language Translation

Combining Natural Language Processing Systems to Improve Machine Translation of Speech

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Automatic translation of spoken language is a challenging task that involves several natural language processing (NLP) software modules such as automatic speech recognition (ASR) and machine translation (MT) systems. In recent years, statistical approaches to both ASR and MT were proven to be effective on a large number of translation tasks. Yet the systems involved in speech translation are often developed independently of each other. This work explains how a significant improvement of speech translation quality can be obtained by enhancing the interface between various statistical NLP system...