About: Hidden Markov Tree Model in Dependency-based Machine Translation

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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 would like to draw attention to Hidden Markov Tree Models (HMTM), which are to our knowledge still unexploited in the field of Computational Linguistics, in spite of highly successful Hidden Markov (Chain) Models. In dependency trees, the independence assumptions made by HMTM correspond to the intuition of linguistic dependency. Therefore we suggest to use HMTM and tree-modified Viterbi algorithm for tasks interpretable as labeling nodes of dependency trees. In particular, we show that the transfer phase in a Machine Translation system based on tectogrammatical dependency trees can be seen as a task suitable for HMTM. When using the HMTM approach for the English-Czech translation, we reach a moderate improvement over the baseline. We would like to draw attention to Hidden Markov Tree Models (HMTM), which are to our knowledge still unexploited in the field of Computational Linguistics, in spite of highly successful Hidden Markov (Chain) Models. In dependency trees, the independence assumptions made by HMTM correspond to the intuition of linguistic dependency. Therefore we suggest to use HMTM and tree-modified Viterbi algorithm for tasks interpretable as labeling nodes of dependency trees. In particular, we show that the transfer phase in a Machine Translation system based on tectogrammatical dependency trees can be seen as a task suitable for HMTM. When using the HMTM approach for the English-Czech translation, we reach a moderate improvement over the baseline. (en)
Title	Hidden Markov Tree Model in Dependency-based Machine Translation Hidden Markov Tree Model in Dependency-based Machine Translation (en)
skos:prefLabel	Hidden Markov Tree Model in Dependency-based Machine Translation Hidden Markov Tree Model in Dependency-based Machine Translation (en)
skos:notation	RIV/00216208:11320/09:10077993!RIV11-MSM-11320___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1ET101120503), P(LC536), Z(MSM0021620838)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Popel, Martin Žabokrtský, Zdeněk
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	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	317072
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/09:10077993
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	translation; machine; based; dependency; model; tree; markov; hidden (en)
http://linked.open.../riv/klicoveSlovo	dependency model tree machine translation based hidden markov
http://linked.open...ontrolniKodProRIV	[A524DFC0D8F4]
http://linked.open...v/mistoKonaniAkce	Suntec, Singapore
http://linked.open...i/riv/mistoVydani	Suntec, Singapore
http://linked.open...i/riv/nazevZdroje	Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
http://linked.open...in/vavai/riv/obor	AI
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Integration of language resources for information extraction from natural texts Integrated center for natural language processing
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Popel, Martin Žabokrtský, Zdeněk
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2009-08-02 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Moderní metody, struktury a systémy informatiky
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Association for Computational Linguistics
https://schema.org/isbn	978-1-932432-61-9
http://localhost/t...ganizacniJednotka	11320

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