Abstract:In this paper we describe our work in constructing a language identification system for use in our simultaneous lecture translation system. We first built PPR and PPRLM baseline systems that produce score-fusing language cue feature vectors for language discrimination and utilize an SVM back-end classifier for the actual language identification. On our bi-lingual lecture tasks the PPRLM system clearly outperforms the PPR system in various segment length conditions, however at the cost of slower run-time. By us… Show more
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