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FINTAL
2006

Using Alignment Templates to Infer Shallow-Transfer Machine Translation Rules

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Using Alignment Templates to Infer Shallow-Transfer Machine Translation Rules
When building rule-based machine translation systems, a considerable human effort is needed to code the transfer rules that are able to translate source-language sentences into grammatically correct target-language sentences. In this paper we describe how to adapt the alignment templates used in statistical machine translation to the rulebased machine translation framework. The alignment templates are converted into structural transfer rules that are used by a shallow-transfer machine translation engine to produce grammatically correct translations. As the experimental results show there is a considerable improvement in the translation quality as compared to word-for-word translation (when no transfer rules are used), and the translation quality is close to that achieved when hand-coded transfer rules are used. The method presented is entirely unsupervised, and needs only a parallel corpus, two morphological analysers, and two part-of-speech taggers, such as those used by the machine t...
Felipe Sánchez-Martínez, Hermann Ney
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where FINTAL
Authors Felipe Sánchez-Martínez, Hermann Ney
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