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Multi-rate HMMs for Word Alignment

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journal contribution
posted on 2018-08-08, 00:00 authored by Elif Eyigoz, Daniel Gildea, Kemal OflazerKemal Oflazer
We apply multi-rate HMMs, a tree structured HMM model, to the word-alignment problem. Multi-rate HMMs allow us to model reordering at both the morpheme level and the word level in a hierarchical fashion. This approach leads to better machine translation results than a morpheme aware model that does not explicitly model morpheme reordering.

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Publisher Statement

This is the published version of Eyigoz, E., Gildea, D., & Oflazer, K. (2013). Multi-rate HMMs for Word Alignment. Proceedings of the Eighth Workshop on Statistical Machine Translation, 494-504. © 2013 Association for Computational Linguistics

Date

2018-08-08

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