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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8224
Title: Bits_Pilani@INLI-FIRE-2017:Indian Native Language Identification using Deep Learning
Authors: Sharma, Yashvardhan
Keywords: Computer Science
Native Language Identification
Natural Language Processing
Deep Learning
Neural networks
Issue Date: 2017
Publisher: CEUR
Abstract: The task of Native Language Identification involves identifying the prior or first learnt language of a user based on his writing technique and/or analysis of speech and phonetics in second language. There is a surplus of such data present on social media sites and organised dataset from bodies like Educational Testing Service(ETS), which can be exploited to develop language learning systems and forensic linguistics. In this paper we propose a deep neural network for this task using hierarchical paragraph encoder with attention mechanism to identify relevant features over tendencies and errors a user makes with second language for the INLI task in FIRE 2017. The task involves six Indian languages as prior/native set and english as the second language which has been collected from user's social media account.
URI: https://ceur-ws.org/Vol-2036/T4-7.pdf
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8224
Appears in Collections:Department of Computer Science and Information Systems

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