Word-level Language Identification using CRF: Code-switching Shared Task Report of MSR India System

@inproceedings{Chittaranjan2014WordlevelLI,
  title={Word-level Language Identification using CRF: Code-switching Shared Task Report of MSR India System},
  author={Gokul Chittaranjan and Yogarshi Vyas and Kalika Bali and Monojit Choudhury},
  booktitle={CodeSwitch@EMNLP},
  year={2014}
}
We describe a CRF based system for word-level language identification of code-mixed text. Our method uses lexical, contextual, character n-gram, and special character features, and therefore, can easily be replicated across languages. Its performance is benchmarked against the test sets provided by the shared task on code-mixing (Solorio et al., 2014) for four language pairs, namely, EnglishSpanish (En-Es), English-Nepali (En-Ne), English-Mandarin (En-Cn), and Standard Arabic-Arabic (Ar-Ar… CONTINUE READING
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