Syllable Alignment : A Novel Model for Phonetic String Search(Natural Language Processing)

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概要

• 論文の詳細を見る

• Phonetic string search of written text is an important topic in Information Retrieval. While most of the previous methods convert a string into intermediate codes with phonetic transformation rules, this paper proposes a novel algorithm to segment two phonetic strings into syllables and find the optimal pairing of the corresponding syllables to calculate their similarity score. The experiment shows that this method is very effective and flexible. It can be easily adapted to different datasets and achieves optimal performance on average.

• 社団法人電子情報通信学会の論文
• 2006-01-01

著者

• Chan Tony

  School Of Computer Engineering Nanyang Technological University

• GONG Ruibin

  School of Computer Engineering, Nanyang Technological University

• Gong Ruibin

  School Of Computer Engineering Nanyang Technological University

関連論文

• Syllable Alignment : A Novel Model for Phonetic String Search(Natural Language Processing)

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