Approach to Spoken Chinese Paraphrasing Based on Feature Extraction

This paper presents an approach to spoken Chinese language paraphrasing based on feature extraction and techniques of language generation. In this approach, an input utterance is first analyzed in terms of phrase structure, dependency of chunks, etc., by using multiple methods. Then, the main features of the input utterance are extracted, and the extraction results are represented by a frame. Finally, other possible expressions of the input are generated based on the analysis results by different methods. Preliminary results are shown in the paper.

• Type: Conference
• Year: 2001
• Where: NLPRS
• Authors: Chengqing Zong, Yujie Zhang, Kazuhide Yamamoto, Masashi Sakamoto, Satoshi Shirai
• Keywords: Feature Extraction, Input Utterance, Natural Language Processing, NLPRS 2001, Spoken Chinese Language