Szczegóły publikacji
Opis bibliograficzny
Language modeling and large vocabulary continuous speech recognition / Leszek Gajecki, Ryszard TADEUSIEWICZ // Journal of Applied Computer Science ; ISSN 1507-0360. — 2009 — vol. 17 no. 2, s. 57–70. — Bibliogr. s. 69–70, Abstr.
Autorzy (2)
- Gajecki Leszek
- AGHTadeusiewicz Ryszard
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 50169 |
|---|---|
| Data dodania do BaDAP | 2010-02-05 |
| Rok publikacji | 2009 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Journal of Applied Computer Science |
Abstract
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.
