About: Similarity Scoring for Recognizing Repeated Out-of-VocabularyWords

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We develop a similarity measure to detect repeatedly occurring Out-of-Vocabulary words (OOV), since these carry important information. Sub-word sequences in the recognition output from a hybrid word/sub-word recognizer are taken as detected OOVs and are aligned to each other with the help of an alignment error model. This model is able to deal with partial OOV detections and tries to reveal more complex word relations such as compound words. We apply the model to a selection of conversational phone calls to retrieve other examples of the same OOV, and to obtain a higher-level description of it such as being a derivation of a known word. We develop a similarity measure to detect repeatedly occurring Out-of-Vocabulary words (OOV), since these carry important information. Sub-word sequences in the recognition output from a hybrid word/sub-word recognizer are taken as detected OOVs and are aligned to each other with the help of an alignment error model. This model is able to deal with partial OOV detections and tries to reveal more complex word relations such as compound words. We apply the model to a selection of conversational phone calls to retrieve other examples of the same OOV, and to obtain a higher-level description of it such as being a derivation of a known word. (en)
Title	Similarity Scoring for Recognizing Repeated Out-of-VocabularyWords Similarity Scoring for Recognizing Repeated Out-of-VocabularyWords (en)
skos:prefLabel	Similarity Scoring for Recognizing Repeated Out-of-VocabularyWords Similarity Scoring for Recognizing Repeated Out-of-VocabularyWords (en)
skos:notation	RIV/00216305:26230/10:PU89634!RIV11-GA0-26230___
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(GA102/08/0707), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Burget, Lukáš Karafiát, Martin Kombrink, Stefan Hannemann, Mirko
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	287324
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/10:PU89634
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	out-of-vocabulary, OOV, hybrid word/sub-word recognizer, similarity measure, alignment error model (en)
http://linked.open.../riv/klicoveSlovo	similarity measure OOV alignment error model hybrid word/sub-word recognizer out-of-vocabulary
http://linked.open...ontrolniKodProRIV	[6FCE59DA51AC]
http://linked.open...v/mistoKonaniAkce	Tokyo
http://linked.open...i/riv/mistoVydani	Makuhari, Chiba
http://linked.open...i/riv/nazevZdroje	Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010)
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Speech Recognition under Real-World Conditions
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Burget, Lukáš Karafiát, Martin Kombrink, Stefan Hannemann, Mirko
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-09-26 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
issn	1990-9772
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	International Speech Communication Association
http://localhost/t...ganizacniJednotka	26230
is http://linked.open...avai/riv/vysledek of	Similarity Scoring for Recognizing Repeated Out-of-VocabularyWords

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