Automatic Detection of Intra-Word Code-Switching

Dong-Phuong Nguyen; Leonie Cornips

Automatic Detection of Intra-Word Code-Switching

Dong-Phuong Nguyen
, Leonie Cornips

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

17 Citations (Scopus)

220 Downloads (Pure)

Abstract

Many people are multilingual and they may draw from multiple language varieties when writing their messages. This paper is a first step towards analyzing and detecting code-switching within words. We first segment words into smaller units. Then, words are identified that are composed of sequences of subunits associated with different languages. We demonstrate our method on Twitter data in which both Dutch and dialect varieties labeled as Limburgish, a minority language, are used.

Original language	English
Title of host publication	Proceedings of the 14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
Place of Publication	Stroudsburg, PA, USA
Publisher	Association for Computational Linguistics (ACL)
Pages	82-86
Number of pages	5
Publication status	Published - 11 Aug 2016
Event	14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology 2016 - Berlin, Germany Duration: 11 Aug 2016 → 11 Aug 2016 Conference number: 14

Workshop

Workshop	14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology 2016
Country/Territory	Germany
City	Berlin
Period	11/08/16 → 11/08/16

Keywords

CR-I.2.7
Social Media
code-switching
Computational Linguistics

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Cite this

@inproceedings{92264e52a41b4195ac697336a8bfe34f,

title = "Automatic Detection of Intra-Word Code-Switching",

abstract = "Many people are multilingual and they may draw from multiple language varieties when writing their messages. This paper is a first step towards analyzing and detecting code-switching within words. We first segment words into smaller units. Then, words are identified that are composed of sequences of subunits associated with different languages. We demonstrate our method on Twitter data in which both Dutch and dialect varieties labeled as Limburgish, a minority language, are used.",

keywords = "CR-I.2.7, Social Media, code-switching, Computational Linguistics",

author = "Dong-Phuong Nguyen and Leonie Cornips",

note = "eemcs-eprint-27518 ; 14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology 2016 ; Conference date: 11-08-2016 Through 11-08-2016",

year = "2016",

month = aug,

day = "11",

language = "English",

pages = "82--86",

booktitle = "Proceedings of the 14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",

publisher = "Association for Computational Linguistics (ACL)",

address = "United States",

}

Nguyen, D-P & Cornips, L 2016, Automatic Detection of Intra-Word Code-Switching. in Proceedings of the 14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics (ACL), Stroudsburg, PA, USA, pp. 82-86, 14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology 2016, Berlin, Germany, 11/08/16.

Automatic Detection of Intra-Word Code-Switching. / Nguyen, Dong-Phuong; Cornips, Leonie.
Proceedings of the 14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Stroudsburg, PA, USA: Association for Computational Linguistics (ACL), 2016. p. 82-86.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Automatic Detection of Intra-Word Code-Switching

AU - Nguyen, Dong-Phuong

AU - Cornips, Leonie

N1 - Conference code: 14

PY - 2016/8/11

Y1 - 2016/8/11

N2 - Many people are multilingual and they may draw from multiple language varieties when writing their messages. This paper is a first step towards analyzing and detecting code-switching within words. We first segment words into smaller units. Then, words are identified that are composed of sequences of subunits associated with different languages. We demonstrate our method on Twitter data in which both Dutch and dialect varieties labeled as Limburgish, a minority language, are used.

AB - Many people are multilingual and they may draw from multiple language varieties when writing their messages. This paper is a first step towards analyzing and detecting code-switching within words. We first segment words into smaller units. Then, words are identified that are composed of sequences of subunits associated with different languages. We demonstrate our method on Twitter data in which both Dutch and dialect varieties labeled as Limburgish, a minority language, are used.

KW - CR-I.2.7

KW - Social Media

KW - code-switching

KW - Computational Linguistics

M3 - Conference contribution

SP - 82

EP - 86

BT - Proceedings of the 14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology

PB - Association for Computational Linguistics (ACL)

CY - Stroudsburg, PA, USA

T2 - 14th Annual SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology 2016

Y2 - 11 August 2016 through 11 August 2016

ER -

Automatic Detection of Intra-Word Code-Switching

Abstract

Workshop

Keywords

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