Paper: Incremental HMM Alignment for MT System Combination

ACL ID P09-1107
Title Incremental HMM Alignment for MT System Combination
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Inspired by the incremental TER align- ment, we re-designed the Indirect HMM (IHMM) alignment, which is one of the best hypothesis alignment methods for conventional MT system combination, in an incremental manner. One crucial prob- lem of incremental alignment is to align a hypothesis to a confusion network (CN). Our incremental IHMM alignment is im- plemented in three different ways: 1) treat CN spans as HMM states and define state transition as distortion over covered n- grams between two spans; 2) treat CN spans as HMM states and define state tran- sition as distortion over words in compo- nent translations in the CN; and 3) use a consensus decoding algorithm over one hypothesis and multiple IHMMs, each of which corresponds to a component trans- lation in the CN. All these three ap- pr...