Paper: Chinese Word Ordering Errors Detection and Correction for Non-Native Chinese Language Learners

ACL ID C14-1028
Title Chinese Word Ordering Errors Detection and Correction for Non-Native Chinese Language Learners
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Word Ordering Errors (WOEs) are the most frequent type of grammatical errors at sentence level for non-native Chinese language learners. Learners taking Chinese as a foreign language often place character(s) in the wrong places in sentences, and that results in wrong word(s) or ungrammatical sentences. Besides, there are no clear word boundaries in Chinese sentences. That makes WOEs detection and correction more challenging. In this paper, we propose methods to detect and correct WOEs in Chinese sentences. Conditional random fields (CRFs) based WOEs detection models identify the sentence segments containing WOEs. Segment point-wise mutual information (PMI), inter-segment PMI difference, language model, tag of the previous segment, and CRF bigram template are explored. Words in the ...