M. Bisani and H. Ney, Open Vocabulary Speech Recognition with Flat Hybrid Models, Proc. of Interspeech, 2005.

X. Chen, T. Tan, X. Liu, P. Lanchantin, M. Wan et al., Recurrent Neural Network Language Model Adaptation for Multi-Genre Broadcast Speech Recognition, Proc. of Interspeech, 2015.

A. Currey, I. Illina, and D. Fohr, Dynamic adjustment of language models for automatic speech recognition using word similarity, 2016 IEEE Spoken Language Technology Workshop (SLT), 2016.
DOI : 10.1109/SLT.2016.7846299
URL : https://hal.archives-ouvertes.fr/hal-01384365

T. Mikolov, Statistical Language Models Based on Neural Networks, 2013.

T. Mikolov, M. Karafiát, L. Burget, J. Cernocký, and S. Khudanpur, Recurrent Neural Network based Language Lodel, Proc. of Interspeech, 2010.

T. Mikolov, S. Kombrink, L. Burget, J. Cernocky, and S. Khudanpur, Extensions of recurrent neural network language model, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5528-5531, 2011.
DOI : 10.1109/ICASSP.2011.5947611

T. Mikolov, S. Kombrink, A. Deoras, L. Burget, and J. Cernocky, RNNLM -Recurrent Neural Network Language Modeling Toolkit, Proc. of IEEE ASRU, 2011.

T. Mikolov, I. Sutskever, K. Chen, S. Corrado, and J. Dean, Distributed Representations of Words and Phrases and their Compositionality, Advances in Neural Information Processing Systems, pp.3111-3119, 2013.

W. Naptali, M. Tsuchiya, and S. Nakagawa, Class-Based N-Gram Language Model for New Words Using Out-of-Vocabulary to In-Vocabulary Similarity, IEICE Transactions on Information and Systems, vol.95, issue.9, pp.2308-2317, 2012.
DOI : 10.1587/transinf.E95.D.2308

C. Parada, M. Dredze, A. Sethy, and A. Rastrow, Learning Sub- Word Units for Open Vocabulary Speech Recognition, Proc. of ACL, 2011.

L. Qin, Learning Out-of-Vocabulary Words in Automatic Speech Recognition, 2013.

A. Shaik, . El-desoky-mousa, . Schlüter, and H. Ney, Hybrid Language Models Using Mixed Types of Sub-Lexical Units for Open Vocabulary German LVCSR, Proc.of Interspeech, pp.1441-1444, 2011.

I. Sheikh, D. Fohr, I. Illina, and G. Linares, Modelling Semantic Context of OOV Words in Large Vocabulary Continuous Speech Recognition, Speech and Language Processing, pp.25-598, 2017.
DOI : 10.1109/TASLP.2017.2651361
URL : https://hal.archives-ouvertes.fr/hal-01461617

I. Sheikh, I. Illina, and D. Fohr, How Diachronic Text Corpora Affect Context based Retrieval of OOV Proper Names for Audio News, Proceedings of LREC, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01331714

A. Stolcke, J. Zheng, W. Wang, and V. Abrash, SRILM at sixteen: Update and outlook, Proc. of IEEE Automatic Speech Recognition and Understanding Workshop, 2011.

M. Sundermeyer, I. Oparin, J. Gauvain, B. Freiberg, R. Schlüter et al., Comparison of feedforward and recurrent neural network language models, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013.
DOI : 10.1109/ICASSP.2013.6639310

T. Wen, A. Heidel, H. Lee, Y. Tsao, and L. Lee, Recurrent Neural Network based Personalized Language Modeling by Social Network Crowdsourcing, Proc. of Interspeech, 2013.