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This work focuses on building language models (LMs) for code-switched text.
Class-based n-gram models of natural language
Peter F Brown, Peter V Desouza, Robert L Mercer, Vincent J Della Pietra, and Jenifer C Lai. 1992 · 1992
Earlier work this paper cites.
Detection of language boundary in code-switching utterances by bi-phone probabilities
Joyce YC Chan, PC Ching, Tan Lee, and Helen M Meng. 2004 · 2004
Earlier work this paper cites.
An approach to mixed language automatic speech recognition
K Bhuvanagiri and Sunil Kopparapu. 2010 · 2010
Earlier work this paper cites.
An analysis of a Mandarin-English code-switching speech corpus: SEAME
Dau-Cheng Lyu, Tien-Ping Tan, Eng-Siong Chng, and Haizhou Li. 2010 · 2010
Earlier work this paper cites.
Recurrent neural network based language model
Tomáš Mikolov, Martin Karafiát, Lukáš Burget, Jan Černockỳ, and Sanjeev Khudanpur. 2010 · 2010
Earlier work this paper cites.
An integrated framework for transcribing Mandarin-English code-mixed lectures with improved acoustic and language modeling
Ching Feng Yeh, Chao Yu Huang, Liang Che Sun, and Lin Shan Lee. 2010 · 2010
Earlier work this paper cites.
Language dependent universal phoneme posterior estimation for mixed language speech recognition
David Imseng, Hervé Bourlard, Mathew Magimai Doss, and John Dines. 2011 · 2011
Earlier work this paper cites.
Asymmetric acoustic modeling of mixed language speech
Ying Li, Pascale Fung, Ping Xu, and Yi Liu. 2011 · 2011
Earlier work this paper cites.
A first speech recognition system for Mandarin-English code-switch conversational speech
Ngoc Thang Vu, Dau-Cheng Lyu, Jochen Weiner, Dominic Telaar, Tim Schlippe, Fabian Blaicher, Eng-Siong Chng, Tanja Schultz, and Haizhou Li. 2012 · 2012
Cited alongside, same era.
Recurrent neural network language modeling for code switching conversational speech
Heike Adel, Ngoc Thang Vu, Franziska Kraus, Tim Schlippe, Haizhou Li, and Tanja Schultz. 2013 · 2013
Cited alongside, same era.
Code-switching in conversation: Language, interaction and identity
Peter Auer. 2013 · 2013
Cited alongside, same era.
Improved mixed language speech recognition using asymmetric acoustic model and language model with code-switch inversion constraints
Ying Li and Pascale Fung. 2013 · 2013
Cited alongside, same era.
Combining recurrent neural networks and factored language models during decoding of code-switching speech
Heike Adel, Dominic Telaar, Ngoc Thang Vu, Katrin Kirchhoff, and Tanja Schultz. 2014 · 2014
Cited alongside, same era.
Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015
Later among the works it cites.
Challenges of computational processing of code-switching
Özlem Çetinoglu, Sarah Schulz, and Ngoc Thang Vu. 2016 · 2016
Later among the works it cites.
Curriculum design for code-switching: Experiments with language identification and language modeling with deep neural networks
Ashutosh Baheti, Sunayana Sitaram, Monojit Choudhury, and Kalika Bali. 2017 · 2017
Later among the works it cites.
Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2017 · 2017
Later among the works it cites.
Language informed modeling of code-switched text
Khyathi Chandu, Thomas Manzini, Sumeet Singh, and Alan W Black. 2018 · 2018
Closest in time.
Dual language models for code mixed speech recognition
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Language modeling with functional head constraint for code switching speech recognition
Ying Li and Pascale Fung. 2014 · 2014
Cited alongside, same era.
Syntactic and semantic features for code-switching factored language models
Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar, and Tanja Schultz. 2015 · 2015
Cited alongside, same era.
Saurabh Garg, Tanmay Parekh, and Preethi Jyothi. 2018 · 2018
Closest in time.
Language modeling for code-mixing: The role of linguistic theory based synthetic data
Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, Sunayana Sitaram, Sandipan Dandapat, and Kalika Bali. 2018 · 2018
Closest in time.