Publication Details
Empirical Evaluation and Combination of Advanced Language Modeling Techniques
Deoras Anoop (JHU)
Kombrink Stefan, Dipl.-Inf -Ling (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
language modeling, neural networks, model combination, speech recognition
This paper is on Empirical Evaluation and Combination of Advanced Language Modeling Techniques. Our work is the first attempt to combine many advanced language modeling techniques.
We present results obtained with several advanced language modeling techniques, including class based model, cache model, maximum entropy model, structured language model, random forest language model and several types of neural network based language models. We show results obtained after combining all these models by using linear interpolation. We conclude that for both small and moderately sized tasks, we obtain new state of the art results with combination of models, that is significantly better than performance of any individual model. Obtained perplexity reductions against Good-Turing trigram baseline are over 50% and against modified Kneser-Ney smoothed 5-gram over 40%.
@INPROCEEDINGS{FITPUB9759, author = "Tom\'{a}\v{s} Mikolov and Anoop Deoras and Stefan Kombrink and Luk\'{a}\v{s} Burget and Jan \v{C}ernock\'{y}", title = "Empirical Evaluation and Combination of Advanced Language Modeling Techniques", pages = "605--608", booktitle = "Proceedings of Interspeech 2011", journal = "Proceedings of Interspeech - on-line", volume = 2011, number = 8, year = 2011, location = "Florence, IT", publisher = "International Speech Communication Association", ISBN = "978-1-61839-270-1", ISSN = "1990-9772", language = "english", url = "https://www.fit.vut.cz/research/publication/9759" }