CTAP for Chinese: A linguistic Complexity Feature Automatic Calculation Platform

被引：0

作者：

Cui, Yue ^{[1
,2
,3
]}

Zhu, Junhui ^{[1
,2
,3
]}

Yang, Liner ^{[1
,2
,3
]}

Fang, Xuezhi ^{[1
,2
,3
]}

Chen, Xiaobin ^{[4
]}

Wang, Yujie ^{[5
]}

Yang, Erhong ^{[1
,3
]}

机构：

[1] Beijing Language & Culture Univ, Natl Language Resources Monitoring & Res Ctr, Print Media Language Branch, Beijing 100083, Peoples R China

[2] Beijing Language & Culture Univ, Sch Informat Sci, Beijing 100083, Peoples R China

[3] Beijing Language & Culture Univ, Beijing Adv Innovat Ctr Language Resources, Beijing 100083, Peoples R China

[4] Tubingen Univ, Hector Inst Empir Bildungsforsch, D-72072 Tubingen, Germany

[5] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China

来源：

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2022年

关键词：

linguistic complexity analyzer; Chinese; text analysis; SYNTACTIC COMPLEXITY; READABILITY; LEVEL;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The construct of linguistic complexity has been widely used in the research of language learning. Several text analysis tools have been made to automatically analyze linguistic complexity. However, the indexes supported by several existing Chinese text analysis tools are limited and varied due to different research purposes. CTAP is an open-source toolkit for linguistic complexity measurement extraction, which serves all research purposes. Although it was originally developed for English, the Unstructured Information Management (UIMA) framework it used allows the integration of other languages. In this study, we integrated the Chinese component into CTAP, describing the index sets it incorporated and comparing it with three linguistic complexity tools for Chinese. The index set includes 4 levels of 196 linguistic complexity indexes: character level, word level, sentence level, and discourse level. So far, CTAP has implemented automatic calculation of complexity characteristics for four languages, aiming to help linguists without NLP background do their research on language complexity.

引用

页码：5525 / 5538

页数：14

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