Language Modeling

Language models are crucial for many tasks in NLP. The goal of a language model is to estimate the probability of a given word sequence. Automatic speech recognition, optical character recognition, machine translation, and other areas heavily depend on the performance of the underlying language model.

Publications

Latent Tree Language Model
Tomáš Brychcín
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (2016)
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Semantic Analysis | Language Modeling
Semantic Features for Dialogue Act Recognition
Pavel Král and Ladislav Lenc and Christophe Cerisara
3rd International Conference on Statistical Language and Speech Processing (SLSP 2015) (2015)
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Semantic Analysis | Language Modeling
Morphological Based Language Models for Inflectional Languages
Tomáš Brychcín and Miloslav Konopík
Proceedings of IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems (2011)
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Language Modeling
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