Using Morphological Information for Robust Language Modeling in Czech ASR System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A00501535" target="_blank" >RIV/49777513:23520/09:00501535 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Morphological Information for Robust Language Modeling in Czech ASR System
Original language description
This paper shows that using rich morphological tags within the concept of class-based n-gram language model with many-to-many word-to-class mapping and combination of this model with the standard word-based n-gram can improve the recognition accuracy over the word-based baseline on the task of automatic transcription of unconstrained spontaneous Czech interviews.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Audio Speech and Language Processing
ISSN
1558-7916
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
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UT code for WoS article
000274224300010
EID of the result in the Scopus database
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