Iterative Language Model Adaptation for Indo-Aryan Language Identification

Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén


Abstract
This paper presents the experiments and results obtained by the SUKI team in the Indo-Aryan Language Identification shared task of the VarDial 2018 Evaluation Campaign. The shared task was an open one, but we did not use any corpora other than what was distributed by the organizers. A total of eight teams provided results for this shared task. Our submission using a HeLI-method based language identifier with iterative language model adaptation obtained the best results in the shared task with a macro F1-score of 0.958.
Anthology ID:
W18-3907
Volume:
Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018)
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venues:
COLING | VarDial | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
66–75
Language:
URL:
https://www.aclweb.org/anthology/W18-3907
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-3907.pdf