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A Train-on-Target Strategy for Multilingual Spoken Language Understanding

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A Train-on-Target Strategy for Multilingual Spoken Language Understanding

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dc.contributor.author García-Granada, Fernando es_ES
dc.contributor.author Segarra Soriano, Encarnación es_ES
dc.contributor.author Millán, Carlos es_ES
dc.contributor.author Sanchís Arnal, Emilio es_ES
dc.contributor.author Hurtado Oliver, Lluis Felip es_ES
dc.date.accessioned 2017-07-04T08:26:02Z
dc.date.available 2017-07-04T08:26:02Z
dc.date.issued 2016-08
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/84390
dc.description.abstract [EN] There are two main strategies to adapt a Spoken Language Understanding system to deal with languages different from the original (source) language: test-on-source and train-on-target. In the train-ontarget approach, a new understanding model is trained in the target language, which is the language in which the test utterances are pronounced. To do this, a segmented and semantically labeled training set for each new language is needed. In this work, we use several general-purpose translators to obtain the translation of the training set and we apply an alignment process to automatically segment the training sentences. We have applied this train-on-target approach to estimate the understanding module of a Spoken Dialog System for the DIHANA task, which consists of an information system about train timetables and fares in Spanish. We present an evaluation of our train-on-target multilingual approach for two target languages, French and English es_ES
dc.description.sponsorship This work has been partially funded by the project ASLP-MULAN: Audio, Speech and Language Processing for Multimedia Analytics (MEC TIN2014-54288-C4-3-R).
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Lecture Notes in Computer Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Spoken Language es_ES
dc.subject Understanding es_ES
dc.subject Language portability es_ES
dc.subject Corpora alignment es_ES
dc.subject Train-on-target es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title A Train-on-Target Strategy for Multilingual Spoken Language Understanding es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/978-3-319-49169-1_22
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2014-54288-C4-3-R/ES/PROCESADO DE AUDIO, HABLA Y LENGUAJE PARA ANALISIS DE INFORMACION MULTIMEDIA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation García-Granada, F.; Segarra Soriano, E.; Millán, C.; Sanchís Arnal, E.; Hurtado Oliver, LF. (2016). A Train-on-Target Strategy for Multilingual Spoken Language Understanding. Lecture Notes in Computer Science. 10077:224-233. https://doi.org/10.1007/978-3-319-49169-1_22 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-319-49169-1_22 es_ES
dc.description.upvformatpinicio 224 es_ES
dc.description.upvformatpfin 233 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10077 es_ES
dc.relation.senia 321688 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad
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