National Institute of Information and Communications Technology, Incorporated

Benjamin Marie

Atsushi Fujita

Provided is a pseudo parallel translation data generation apparatus for generating pseudo parallel translation data for accurately performing machine translation in an adaptation target domain even when there exists no parallel translation data for the adaptation target domain. Using other-domains parallel translation data D(L-L), other-domains first language data D(L), other-domains second language D(L), adaptation target domain first language data D(R), and adaptation target domain second language data D(R), the pseudo parallel translation data generation apparatusperforms optimization processing for a cross-lingual language model including an input data embedding unitand an XLM processing unit, and performs parameter optimization processing for a pseudo parallel translation data generation NMT model including the input data embedding unit after the optimization processing and a machine translation processing unit. Performing processing using the pseudo parallel translation data generation machine translation model obtained by the parameter optimization processing allows for obtaining pseudo parallel translation data for the adaptation target domain for which no parallel translation data sets exist.

Method for training machine translation model for generating pseudo parallel translation data, method for obtaining pseudo parallel translation data, and method for training machine translation model

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Koganei, Japan

Benjamin Marie