A Hybrid Approach for Functional Expression Identification in a Japanese Reading Assistant

摘要：

In this paper we present a hybrid approach for identifying Japanese functional expressions and its application in a Japanese reading assistant. We combine the results of machine learning and patternbased methods to identify several types of functional expressions. We show that by using our approach we can double the coverage of previous approaches and still maintain the high level of performance necessary for our application.

作者: Gregory Hazelbeck Hiroaki Saito

作者单位: Graduate School of Science and Technology Keio University

会议类型: 国际会议

会议名称: The 23rd International Conference on Computational Linguistics(第23届国际计算语言学大会)

会议地点: 北京

会议语种:英文

页码: 81-84

在线出版日期: 2010-08-01（万方平台首次上网日期，不代表论文的发表时间）