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- W2806265406 abstract "In this paper, we present an pure logic study on problem of word- level language identification for Konkani- English Code-Mixed Social Media Text (CMST). we describe a new dataset which contains of more than thousands posts from Facebook posts that exhibit code mixing between Konkani-English. To the best of our knowledge, our work is the first attempt at the creation of a linguistic resource for this language pair which will be made public and developed a language identification System for Konkani-English language pair. Using this Konkani-English tagged dataset we have carried out experiment on language detection at word level. We have used Different ways to solve language detection task, unsupervised dictionary-based detection technique, supervised Language identification of word level using sequence labelling using Conditional Random Fields based models, SVM, Random Forest." @default.
- W2806265406 created "2018-06-13" @default.
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- W2806265406 date "2017-11-16" @default.
- W2806265406 modified "2023-09-26" @default.
- W2806265406 title "Word Level Language Identification system for Konkani-English Code-Mixed Social Media Text (CMST)" @default.
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- W2806265406 doi "https://doi.org/10.1145/3140107.3140132" @default.
- W2806265406 hasPublicationYear "2017" @default.
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