A method for distinguishing English mass and count nouns
スポンサーリンク
概要
- 論文の詳細を見る
This paper proposes an unsupervised method for distinguishing mass and countnouns in context using decision lists.The mass count distinction is particularly im-portant in detecting errors concerning the articles and the singular/plural usage inthe writing of Japanese learners of English.Decision lists are learned from a set oftraining data that consist of instances of the target noun used as mass or count. Ingeneral, it is costly and time-consuming to acquire a set of training data.To solvethe problem, this paper also proposes a method for automatically generating trainingdata.Experiments show that the proposed method achieves an accuracy of 83.9%in distinguishing mass and count nouns in context.
- 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