@inproceedings{yirmibesoglu-eryigit-2018-detecting,
title = "Detecting Code-Switching between {T}urkish-{E}nglish Language Pair",
author = {Yirmibe{\c{s}}o{\u{g}}lu, Zeynep and
Eryi{\u{g}}it, G{\"u}l{\c{s}}en},
editor = "Xu, Wei and
Ritter, Alan and
Baldwin, Tim and
Rahimi, Afshin",
booktitle = "Proceedings of the 2018 {EMNLP} Workshop W-{NUT}: The 4th Workshop on Noisy User-generated Text",
month = nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6115",
doi = "10.18653/v1/W18-6115",
pages = "110--115",
abstract = "Code-switching (usage of different languages within a single conversation context in an alternative manner) is a highly increasing phenomenon in social media and colloquial usage which poses different challenges for natural language processing. This paper introduces the first study for the detection of Turkish-English code-switching and also a small test data collected from social media in order to smooth the way for further studies. The proposed system using character level n-grams and conditional random fields (CRFs) obtains 95.6{\%} micro-averaged F1-score on the introduced test data set.",
}
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%0 Conference Proceedings
%T Detecting Code-Switching between Turkish-English Language Pair
%A Yirmibeşoğlu, Zeynep
%A Eryiğit, Gülşen
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F yirmibesoglu-eryigit-2018-detecting
%X Code-switching (usage of different languages within a single conversation context in an alternative manner) is a highly increasing phenomenon in social media and colloquial usage which poses different challenges for natural language processing. This paper introduces the first study for the detection of Turkish-English code-switching and also a small test data collected from social media in order to smooth the way for further studies. The proposed system using character level n-grams and conditional random fields (CRFs) obtains 95.6% micro-averaged F1-score on the introduced test data set.
%R 10.18653/v1/W18-6115
%U https://aclanthology.org/W18-6115
%U https://doi.org/10.18653/v1/W18-6115
%P 110-115
Markdown (Informal)
[Detecting Code-Switching between Turkish-English Language Pair](https://aclanthology.org/W18-6115) (Yirmibeşoğlu & Eryiğit, WNUT 2018)
ACL