A probabilistic approach to analogical speech translation
نویسندگان
چکیده
Previous work on speech-to-speech translation has su ered from problems of brittleness and low quality (rule-based approaches), or from excessive data requirements and linguistic ine ciency (analogical or example-based approaches). In this paper, we present a probabilistic approach to analogical speech translation, and describe its integration with linguistic processing. The evaluation results show that this approach results in high-accuracy translations in limited domains.
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