A trainable method for pronominal anaphora resolution using shallow information

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概要

• 論文の詳細を見る
• 言語処理学会の論文
• 2001-07-10

著者

• SUMITA Eiichiro

  ATR Spoken Language Translation Research Laboratories

• Paul Michael

  Atr Spoken Language Translation Research Laboratories

• Paul Michael

  Atr Spoken Language Communication Research Laboratories:graduate School Of Science And Technology Ko

関連論文

• Splitting Input for Machine Translation Using N-gram Language Model Together with Utterance Similarity(Natural Language Processing)
• Introducing a Translation Dictionary into Phrase-Based SMT
• Training Set Selection for Building Compact and Efficient Language Models
• A trainable method for pronominal anaphora resolution using shallow information
• Multiple Translation-Engine-based Hypotheses and Edit-Distance-based Rescoring for a Greedy Decoder for Statistical Machine Translation(Natural-Language Processing)

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