Identification of code-switched sentences and words using language modeling approaches

Liang Chih Yu*, Wei Cheng He, Wei Nan Chien, Yuen Hsien Tseng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Globalization and multilingualism contribute to code-switching - the phenomenon in which speakers produce utterances containing words or expressions from a second language. Processing code-switched sentences is a significant challenge for multilingual intelligent systems. This study proposes a language modeling approach to the problem of code-switching language processing, dividing the problem into two subtasks: the detection of code-switched sentences and the identification of code-switched words in sentences. A code-switched sentence is detected on the basis of whether it contains words or phrases from another language. Once the code-switched sentences are identified, the positions of the code-switched words in the sentences are then identified. Experimental results show that the language modeling approach achieved an F -measure of 80.43% and an accuracy of 79.01% for detecting Mandarin-Taiwanese code-switched sentences. For the identification of code-switched words, the word-based and POS-based models, respectively, achieved F -measures of 41.09% and 53.08%.

Original languageEnglish
Article number898714
JournalMathematical Problems in Engineering
Publication statusPublished - 2013

ASJC Scopus subject areas

  • General Mathematics
  • General Engineering


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