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INTERSPEECH
2010

Combining many alignments for speech to speech translation

10 years 5 months ago
Combining many alignments for speech to speech translation
Alignment combination (symmetrization) has been shown to be useful for improving Machine Translation (MT) models. Most existing alignment combination techniques are based on heuristics, and can combine only two sets of alignments at a time. Recently in [1], we proposed a power mean based algorithm that can be optimized to combine an arbitrary number alignment tables simultaneously. In this paper we present an empirical investigation of the merits of the approach for combining a large number of alignments (more than 200 in total before pruning). The results of the study suggest that the algorithm can often improve the performance of speech to speech translation systems for low resource languages.
Sameer Maskey, Steven J. Rennie, Bowen Zhou
Added 18 May 2011
Updated 18 May 2011
Type Journal
Year 2010
Where INTERSPEECH
Authors Sameer Maskey, Steven J. Rennie, Bowen Zhou
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