| dc.contributor.author | Jamatia, Anupam | |
| dc.contributor.author | Gambäck, Björn | |
| dc.contributor.author | Das, Amitava | |
| dc.date.accessioned | 2016-01-23T20:15:20Z | |
| dc.date.accessioned | 2016-06-03T08:30:31Z | |
| dc.date.available | 2016-01-23T20:15:20Z | |
| dc.date.available | 2016-06-03T08:30:31Z | |
| dc.date.issued | 2015 | |
| dc.identifier.citation | Angelova, Galia; Bontcheva, Kalina; Mitkov, Ruslan [Eds.] Proceedings of the International Conference Recent Advances in Natural Language Processing p. 239-248 International conference: Recent advances in natural language processing, Association for Computational Linguistics, 2015 | nb_NO |
| dc.identifier.isbn | 9781510813281 | |
| dc.identifier.issn | 1313-8502 | |
| dc.identifier.uri | http://hdl.handle.net/11250/2391290 | |
| dc.description.abstract | The paper reports work on collecting and
annotating code-mixed English-Hindi so-
cial media text (Twitter and Facebook
messages), and experiments on automatic
tagging of these corpora, using both a
coarse-grained and a fine-grained part-of-
speech tag set. We compare the perfor-
mance of a combination of language spe-
cific taggers to that of applying four ma-
chine learning algorithms to the task (Con-
ditional Random Fields, Sequential Mini-
mal Optimization, Naïve Bayes and Ran-
dom Forests), using a range of different
features based on word context and word-
internal information | nb_NO |
| dc.language.iso | eng | nb_NO |
| dc.publisher | Association for Computational Linguistics | nb_NO |
| dc.relation.ispartofseries | Proceedings of the International Conference Recent Advances in Natural Language Processing;33 | |
| dc.title | Part-of-Speech Tagging for Code-Mixed English-Hindi Twitter and Facebook Chat Messages | nb_NO |
| dc.type | Chapter | nb_NO |
| dc.date.updated | 2016-01-23T20:15:20Z | |
| dc.description.version | acceptedVersion | |
| dc.source.pagenumber | 239-248 | nb_NO |
| dc.identifier.cristin | 1320901 | |
