In some cases, to make a proper translation of an utterance in a dialogue, different pieces of contextual information are needed. Interpreting such utterances often requires dialogue analysis including speech acts and discourse analysis. Tin this paper, a statistical dialogue analysis model for Korean-English dialogue machine translation based on speech acts is proposed. The model uses syn- Tactic patterns and n-grams of speech acts. The syntactic patterns include surface syntactic features Which are related to the language-dependent expression o speech acts.
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