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ICASSP
2009
IEEE
13 years 8 months ago
Neural network based language models for highly inflective languages
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
Tomas Mikolov, Jirí Kopecký, Lukas B...
EACL
2006
ACL Anthology
13 years 6 months ago
Phrase-Based Backoff Models for Machine Translation of Highly Inflected Languages
We propose a backoff model for phrasebased machine translation that translates unseen word forms in foreign-language text by hierarchical morphological abstractions at the word an...
Mei Yang, Katrin Kirchhoff
INFORMATICALT
2006
116views more  INFORMATICALT 2006»
13 years 4 months ago
Cache-based Statistical Language Models of English and Highly Inflected Lithuanian
This paper investigates a variety of statistical cache-based language models built upon three corpora: English, Lithuanian, and Lithuanian base forms. The impact of the cache size,...
Airenas Vaiciunas, Gailius Raskinis
ANLP
1997
137views more  ANLP 1997»
13 years 6 months ago
Probabilistic and Rule-Based Tagger of an Inflective Language- a Comparison
We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
Jan Hajic, Barbora Hladká
INTERSPEECH
2010
12 years 11 months ago
Recurrent neural network based language model
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
Tomas Mikolov, Martin Karafiát, Lukas Burge...