Robust Method to Convert HIRAGANA Sequences into Japanese Text

Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki

Abstract: We apply an attention-based sequence-to-sequence model for the Japanese HIRAGANA-KANJI conversion task in spontaneous speech transcripts. Experimental results indicate that short HIRAGANA sequences containing speech-specific errors can be converted into error-free HIRAGANA-KANJI mixed Japanese text.