Syllable-level Neural Language Model for Agglutinative Language

WS 2017 Seunghak YuNilesh KulkarniHaejun LeeJihie Kim

Language models for agglutinative languages have always been hindered in past due to myriad of agglutinations possible to any given word through various affixes. We propose a method to diminish the problem of out-of-vocabulary words by introducing an embedding derived from syllables and morphemes which leverages the agglutinative property... (read more)

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