Improving MT Word Alignment Using Aligned Multi-Stage Parses.

Adam Meyers,Michiko Kosaka,Shasha Liao,Nianwen Xue

SSST-5: Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation（2011）

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摘要

We use hand-coded rules and graph-aligned logical dependencies to reorder English text towards Chinese word order. We obtain a 1.5% higher F-score for Giza ++ compared to running with unprocessed text. We describe this research and its implications for SMT.

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关键词

English text,unprocessed text,Chinese word order,graph-aligned logical dependency,hand-coded rule,higher F-score,Improving MT word alignment,multi-stage parses

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