Szczegóły publikacji
Opis bibliograficzny
Application of morphosyntactic and class-based language models in automatic speech recognition of Polish / Aleksander SMYWIŃSKI-POHL, Bartosz ZIÓŁKO // International Journal on Artificial Intelligence Tools ; ISSN 0218-2130. — 2016 — vol. 25 no. 2 art. no. 1650006, s. 1650006-1–1650006-24. — Bibliogr. s. 1650006-22–1650006-24. — Publikacja dostępna online od: 2016-04-22. — Dod. afiliacja autorów: Jagiellonian University
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 98054 |
|---|---|
| Data dodania do BaDAP | 2016-06-21 |
| DOI | 10.1142/S0218213016500068 |
| Rok publikacji | 2016 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | International Journal on Artificial Intelligence Tools |
Abstract
In this paper we investigate the usefulness of morphosyntactic information as well as clustering in modeling Polish for automatic speech recognition. Polish is an inflectional language, thus we investigate the usefulness of an N-gram model based on morphosyntactic features. We present how individual types of features influence the model and which types of features are best suited for building a language model for automatic speech recognition. We compared the results of applying them with a class-based model that is automatically derived from the training corpus. We show that our approach towards clustering performs significantly better than frequently used SRI LM clustering method. However, this difference is apparent only for smaller corpora.
