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Incorporating Dialectal Variability for Socially Equitable Language Identification
David Jurgens
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Yulia Tsvetkov
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Dan Jurafsky
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text
Yuan Zhang
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Jason Riesa
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Daniel Gillick
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Anton Bakalov
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Jason Baldridge
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David Weiss
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You Tweet What You Speak: A City-Level Dataset of Arabic Dialects
Muhammad Abdul-Mageed
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Hassan Alhuzali
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Mohamed Elaraby
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Towards Language Technology for Mi’kmaq
Anant Maheshwari
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Léo Bouscarrat
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Paul Cook
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What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
Yitong Li
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Timothy Baldwin
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Trevor Cohn
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Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique
Shruti Rijhwani
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Royal Sequiera
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Monojit Choudhury
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Kalika Bali
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Chandra Shekhar Maddila
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Twitter Universal Dependency Parsing for African-American and Mainstream American English
Su Lin Blodgett
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Johnny Wei
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Brendan O’Connor
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Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
Emily M. Bender
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Batya Friedman
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Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Svetlana Kiritchenko
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Saif Mohammad
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Language Informed Modeling of Code-Switched Text
Khyathi Chandu
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Thomas Manzini
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Sumeet Singh
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Alan W. Black
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Deep Models for Arabic Dialect Identification on Benchmarked Data
Mohamed Elaraby
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Muhammad Abdul-Mageed
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https://doi.org/10.18653/v1/P17-2009
https://doi.org/10.18653/v1/P17-2009
Field Of Study
Linguistic Trends
Code Switching
Task
Language Identification
Tagging
Machine Translation
Approach
Deep Learning
Language
Multilingual
English
Hindi
Urdu
Dataset
News
Social Media
Twitter
Blogs
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