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Code-switching is about dealing with alternative languages in speech or text.
E. Yilmaz, H. Heuvel, and D. van Leeuwen, “Acoustic and textual data augmentation for improved asr of code-switching speech,” in
1937
Earlier work this paper cites.
C. W. Pfaff, “Constraints on language mixing: intrasentential code-switching and borrowing in spanish/english,”
1979
Earlier work this paper cites.
R. Williams, “A class of gradient-estimation algorithms for reinforcement learning in neural networks,” in
1987
Earlier work this paper cites.
R. J. Williams, “Simple statistical gradient-following algorithms for connectionist reinforcement learning,”
1992
Earlier work this paper cites.
P. F. Brown, P. V. Desouza, R. L. Mercer, V. J. D. Pietra, and J. C. Lai, “Class-based n-gram models of natural language,”
1992
Earlier work this paper cites.
R. M. Bhatt, “Code-switching and the functional head constraint,” in
1995
Earlier work this paper cites.
R. Kneser and H. Ney, “Improved backing-off for m-gram language modeling,” in
1995
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,”
1997
Earlier work this paper cites.
R. S. Sutton, D. A. McAllester, S. P. Singh, and Y. Mansour, “Policy gradient methods for reinforcement learning with function approximation,” in
2000
Earlier work this paper cites.
K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu, “Bleu: a method for automatic evaluation of machine translation,” in
2002
Earlier work this paper cites.
A. Stolcke, “Srilm-an extensible language modeling toolkit,” in
2002
Cited alongside, same era.
Y. Bengio, R. Ducharme, P. Vincent, and C. Jauvin, “A neural probabilistic language model,”
2003
Cited alongside, same era.
A. Graves and J. Schmidhuber, “Framewise phoneme classification with bidirectional lstm and other neural network architectures,”
2005
Cited alongside, same era.
C. Wei-Yu Chen, “The mixing of english in magazine advertisements in taiwan,”
2006
Cited alongside, same era.
D.-C. Lyu, T.-P. Tan, E. S. Chng, and H. Li, “Seame: a mandarin-english code-switching speech corpus in south-east asia,” in
2010
Cited alongside, same era.
Y. Li and P. Fung, “Code-switch language model with inversion constraints for mixed language speech recognition,”
H. Adel, N. T. Vu, K. Kirchhoff, D. Telaar, and T. Schultz, “Syntactic and semantic features for code-switching factored language models,”
2015
Later among the works it cites.
C.-F. Yeh and L.-S. Lee, “An improved framework for recognizing highly imbalanced bilingual code-switched lectures with cross-language acoustic modeling and frame-level language identification,”
2015
Later among the works it cites.
Ö. Çetinoğlu, S. Schulz, and N. T. Vu, “Challenges of computational processing of code-switching,”
2016
Later among the works it cites.
Z. Zeng, H. Xu, T. Y. Chong, E.-S. Chng, and H. Li, “Improving n-gram language modeling for code-switching speech recognition,” in
2017
Later among the works it cites.
S. Garg, T. Parekh, and P. Jyothi, “Dual language models for code mixed speech recognition,”
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2012
Cited alongside, same era.
——, “Improved mixed language speech recognition using asymmetric acoustic model and language model with code-switch inversion constraints,” in
2013
Cited alongside, same era.
L. Ying and P. Fung, “Language modeling with functional head constraint for code switching speech recognition,” in
2014
Cited alongside, same era.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in
2014
Cited alongside, same era.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,”
2014
Cited alongside, same era.
2017
Later among the works it cites.
L. Yu, W. Zhang, J. Wang, and Y. Yu, “Seqgan: Sequence generative adversarial nets with policy gradient.” in
2017
Later among the works it cites.
H. Xu, T. Chen, D. Gao, Y. Wang, K. Li, N. Goel, Y. Carmiel, D. Povey, and S. Khudanpur, “A pruned rnnlm lattice-rescoring algorithm for automatic speech recognition,” in
2018
Closest in time.
S. Garg, T. Parekh, and P. Jyothi, “Code-switched language models using dual rnns and same-source pretraining,” in
2018
Closest in time.