I. Oparin

Morphological random forests for language modeling of inflectional languages

Lukás Burget, Jan Cernocký, Ilya Oparin, 2008, 2008 IEEE Spoken Language Technology Workshop.

Structured Output Layer Neural Network Language Models for Speech Recognition

Alexandre Allauzen, François Yvon, Jean-Luc Gauvain, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Comparison of feedforward and recurrent neural network language models

Hermann Ney, Jean-Luc Gauvain, Ralf Schlüter, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Connecting and Comparing Language Model Interpolation Techniques

Mirko Hannemann, Ilya Oparin, Ernest Pusateri, 2019, INTERSPEECH.

Improved models for Mandarin speech-to-text transcription

Jean-Luc Gauvain, Lori Lamel, Ilya Oparin, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Keynote Speakers Organizing Committee Program on the Importance of Argument-argument Dependencies in Human Language Comprehension: a Cross- Linguistic Neurocognitive Perspective Evaluation of Local Features for Argument Identification and Classification for Semantic Role Labelling 17:30-late Poster

J. Beskow, H. Ney, R. Carlson, 2008 .

Building Acoustic Models for a Large Vocabulary Continuous Speech Recognizer for Russian

Ilya Oparin, Ivan Tampel, Marina Tatarnikova, 2006 .

Robust Rule-Based Method for Automatic Break Assignment in Russian Texts

Ilya Oparin, I. Oparin, 2005, TSD.

Space-Efficient Representation of Entity-centric Query Language Models

Christophe Van Gysel, M. Hannemann, I. Oparin, 2022, Interspeech.

Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants

Manos Tsagkias, Ilya Oparin, Ernest Pusateri, 2020, SIGIR.

Structured Output Layer neural network language model

Alexandre Allauzen, François Yvon, Jean-Luc Gauvain, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).