タイトル(掲載誌)Research report (School of Information Science, Japan Advanced Institute of Science and Technology)
一般注記This paper analysts some aspect of applying statistical machine translation method to summary text document. After considering this text summarization as statistical machine translation system we apply translation model to test on a corpus consist of long sentence and its reduced, which was produced from our decomposition program. We also revised several translation model and language model to discover a fix model for text summarization. After using training algorithm to cope with corpus, the most important in the remainder is complexity of decoder, for this reason, we will discuss the hierarchy of parallel algorithm for both training data and decoder process is essential.
リサーチレポート(北陸先端科学技術大学院大学情報科学研究科)
identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/8397
一次資料へのリンクURLhttps://dspace.jaist.ac.jp/dspace/bitstream/10119/8397/1/IS-RR-2002-016.pdf
連携機関・データベース国立情報学研究所 : 学術機関リポジトリデータベース(IRDB)(機関リポジトリ)
提供元機関・データベース北陸先端科学技術大学院大学 : JAIST学術研究成果リポジトリ