Language Modeling and Large Vocabulary Continuous Speech Recognition

• Autorzy: Gajecki L. , Tadeusiewicz R.
• Języki publikacji: EN

Abstrakty

EN

Language modeling plays an important role in Large Vocabulary Continuous Speech Recognition (LVCSR) and has significant influence in choosing right hypothesis of word sequence. At the beginning of the paper we remind popular models used in this field as a basis for further considerations. The main scope of this paper is modeling of Polish language for LVCSR purpose. Because mostly in Slavonic languages the order of words is not so strict (and important) like for example in English, we should not put the accent on such model elements like trigram statistical model, where words’ order is taken into account. We chose application of Head–driven Phrase Structure Grammar (HPSG) and we propose automatic methods for obtaining constraints – general rules required by this grammar.

Słowa kluczowe

EN

language model; HPSG; neural networks

PL

sieci neuronowe

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2009
• Tom: Vol. 17, nr 2
• Strony: 57--70
• Opis fizyczny: Bibliogr. 18 poz.

Twórcy

autor

Gajecki L.

autor

Tadeusiewicz R.

• 1University of Information Technology and Management Sucharskiego 2, 35-205 Rzeszów,

Bibliografia

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