Automatic Symbol Processing for Language Model Building in Slavic Languages

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F16%3A00000307" target="_blank" >RIV/46747885:24220/16:00000307 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Symbol Processing for Language Model Building in Slavic Languages

Popis výsledku v původním jazyce

When we want to adapt an existing automatic speech recognition system to a new language, we need a large corpus of texts to create a lexicon, a language model and a database of annotated recordings to train an acoustic model. Usually the texts in the corpus (or in annotations) contain not only words but also some other symbols, mainly strings of digits, special characters and some frequent abbreviations of units. The common feature of all these symbols is that there is not a straightforward correspondence between their printed form and the spoken one. The main goal of this work was to develop efficient tools for automatic translation of symbols or symbolic terms to words for almost all Slavic languages. In this paper we present the research of the basic elements and the production rules in Slavic languages which was used for design of our universal text pre- and post-processing tools.

Název v anglickém jazyce

Automatic Symbol Processing for Language Model Building in Slavic Languages

Popis výsledku anglicky

When we want to adapt an existing automatic speech recognition system to a new language, we need a large corpus of texts to create a lexicon, a language model and a database of annotated recordings to train an acoustic model. Usually the texts in the corpus (or in annotations) contain not only words but also some other symbols, mainly strings of digits, special characters and some frequent abbreviations of units. The common feature of all these symbols is that there is not a straightforward correspondence between their printed form and the spoken one. The main goal of this work was to develop efficient tools for automatic translation of symbols or symbolic terms to words for almost all Slavic languages. In this paper we present the research of the basic elements and the production rules in Slavic languages which was used for design of our universal text pre- and post-processing tools.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

<a href="/cs/project/TA04010199" target="_blank" >TA04010199: MULTILINMEDIA - Multilinguální platforma pro monitoring a analýzu multimédií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proc. of Information technologies Applications and Theory Conference - ITAT 2016

ISBN

978-1-5370-1674-0

ISSN

1613-0073

e-ISSN

—

Počet stran výsledku

5

Strana od-do

37-41

Název nakladatele

Slovenská spoločnosť pre umelú inteligenciu

Místo vydání

Slovenská Republika

Místo konání akce

Slovenská Republika

Datum konání akce

1. 1. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—