Automatically Extracting Collocations Based on Words Position Information in Corpora
スポンサーリンク
概要
- 論文の詳細を見る
Collocations, which are cohesive and recurrent word clusters, play an important role in many natural language application systems. In this paper, we present a set of new techniques for automatically identifying or extracting collocations from corpora. These techniques are based on words position information, and produce a wide range of collocations, including continuous or discontinuous collocations. The effectiveness has been confirmed by evaluation experiments using the ADD (ATR Dialogue Database) corpus.
- 言語処理学会の論文
言語処理学会 | 論文
- 複合語の分野連想語の効率的決定法
- クラス指向事例収集手法による言い換えコーパスの構築
- 動詞項構造辞書への大規模用例付与
- 言い換え技術に関する研究動向
- Morpho-Syntactic Rules for Detecting Japanese Term Variation: Establishment and Evaluation