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11 results on '"Arregi, Xabier"'

1. Morfologia Konputazionala Euskaraz, 35 urte

Author

Aduriz, Itziar, Agirrezabal, Manex, Agirre, Eneko, Alegria, Iñaki, Arregi, Xabier, Arriola, Jose Mari, Artola, Xabier, Diaz de Ilarraza, Arantza, Estarrona, Ainara, Etxeberria, Izaskun, Ezeiza, Nerea, Sarasola, Kepa, and Lindemann, David

Subjects
spell checker, language technology, computational morphology
Abstract

Artikulu honetan morfologia konputazionalaren garapena azalduko dugu, Ixa taldeak euskararako egindako aplikazioa azpimarratuz. Bilakaera historikoa jaso nahi izan dugu, teknologiaren bilakaera eta aplikazioen bilakaera uztartuz, beti euskararen gainean egindakoa adibidetzat hartuta. Teknologiaren bilakaerari dagokionez, ezagutzan oinarritutako ereduak ohikoak eta nagusi izan dira morfologian, baina hurbilpen estatistikoan, eta, batez ere, ikasketa sakonean oinarritutakoak, ugalduz joan dira azken urteetan, horietako asko datuak eta gramatikak eskuragarriak ez dituzten hizkuntzetarako (edo dialektoetarako). Aplikazioak direla eta, ezagunena eta erabiliena zuzentzaile ortografikoa da, baina irakaskuntzarekin edo bertsogintzarekin lotutakoak ere aipagarriak dira. HITZ GAKOAK: morfologia konputazionala, zuzenketa ortografikoa, hizkuntz teknologia

Published
2023
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2. Morfologia Konputazionala Euskaraz, 35 urte

Author

Lindemann, David, Aduriz, Itziar, Agirrezabal, Manex, Agirre, Eneko, Alegria, Iñaki, Arregi, Xabier, Arriola, Jose Mari, Artola, Xabier, Diaz de Ilarraza, Arantza, Estarrona, Ainara, Etxeberria, Izaskun, Ezeiza, Nerea, Sarasola, Kepa, Lindemann, David, Aduriz, Itziar, Agirrezabal, Manex, Agirre, Eneko, Alegria, Iñaki, Arregi, Xabier, Arriola, Jose Mari, Artola, Xabier, Diaz de Ilarraza, Arantza, Estarrona, Ainara, Etxeberria, Izaskun, Ezeiza, Nerea, and Sarasola, Kepa

Abstract

Artikulu honetan morfologia konputazionalaren garapena azalduko dugu, Ixa taldeak euskararako egindako aplikazioa azpimarratuz. Bilakaera historikoa jaso nahi izan dugu, teknologiaren bilakaera eta aplikazioen bilakaera uztartuz, beti euskararen gainean egindakoa adibidetzat hartuta. Teknologiaren bilakaerari dagokionez, ezagutzan oinarritutako ereduak ohikoak eta nagusi izan dira morfologian, baina hurbilpen estatistikoan, eta, batez ere, ikasketa sakonean oinarritutakoak, ugalduz joan dira azken urteetan, horietako asko datuak eta gramatikak eskuragarriak ez dituzten hizkuntzetarako (edo dialektoetarako). Aplikazioak direla eta, ezagunena eta erabiliena zuzentzaile ortografikoa da, baina irakaskuntzarekin edo bertsogintzarekin lotutakoak ere aipagarriak dira. HITZ GAKOAK: morfologia konputazionala, zuzenketa ortografikoa, hizkuntz teknologi

Published
2023

4. The BerbaTek project for Basque: Promoting a less-resourced language via language technology for translation, content management and learning

Author

Leturia, Igor, Sarasola, Kepa, Arregi, Xabier, Ilarraza, Arantza Diaz De, Navas, Eva, Sainz, Iñaki, Pozo, Arantza Del, Baranda, David, and Iturraspe, Urtza

Abstract

Basque is both a minority language (only a small proportion of the population of the Basque Country speaks it) and also a less-resourced language. Fortunately, the Basque regional government is committed to its recovery, and has adopted policies for funding, among other things, language technologies, a field which a language aiming to survive cannot dispense with. BerbaTek was a 3-year (2009--2011) strategic research project on language, speech and multimedia technologies for Basque carried out by a consortium of five members, all prominent local organizations dedicated to research in the above-mentioned areas, and partially funded by the Departments for Industry and Culture of the Basque Government. Collaboration in BerbaTek allowed to carry out a great amount of both basic and applied research. In addition, various prototypes were developed to show the potential of integrating the developed technologies to the language industry sector.

Published
2018
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7. Advanced HCI and 3D Web over Low performance Devices

Author

Universidad EAFIT. Departamento de Ingeniería Mecánica, Laboratorio CAD/CAM/CAE, Oyarzun, David, Del Pozo, Arantza, Congote, John Edgar, Olaizola, Igor G., Sainz, Iñaki, Leturia, Igor, Arregi, Xabier, Ruíz, Óscar, Universidad EAFIT. Departamento de Ingeniería Mecánica, Laboratorio CAD/CAM/CAE, Oyarzun, David, Del Pozo, Arantza, Congote, John Edgar, Olaizola, Igor G., Sainz, Iñaki, Leturia, Igor, Arregi, Xabier, and Ruíz, Óscar

Abstract

This position paper presents the authors’ goals on advanced human computer interaction and 3D Web -- Previous work on speech, natural language processing and visual technologies has achieved the development of the BerbaTek language learning demonstrator, a 3D virtual tutor that supports Basque language students through spoken interaction -- Next steps consist on migrating all the system to multidevice web technologies -- This paper shows the architecture defined and the steps to be performed in the next months

Published
2016

10. Improving mention detection for Basque based on a deep error analysis.

Author

SORALUZE, ANDER, ARREGI, OLATZ, ARREGI, XABIER, and DÍAZ DE ILARRAZA, ARANTZA

Subjects
BASQUE language, ERROR detection (Information theory), NATURAL language processing, COMPUTER network protocols, MATCHING theory
Abstract

This paper presents the improvement process of a mention detector for Basque. The system is rule-based and takes into account the characteristics of mentions in Basque. A classification of error types is proposed based on the errors that occur during mention detection. A deep error analysis distinguishing error types and causes is presented and improvements are proposed. At the final stage, the system obtains an F-measure of 74.57% under the Exact Matching protocol and of 80.57% under Lenient Matching. We also show the performance of the mention detector with gold standard data as input, in order to omit errors caused by the previous stages of linguistic processing. In this scenario, we obtain an F-measure of 85.89% with Strict Matching and of 89.06% with Lenient Matching, i.e., a difference of 11.32 and 8.49 percentage points, respectively. Finally, how improvements in mention detection affect coreference resolution is analysed. [ABSTRACT FROM AUTHOR]

Published
2017
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11. Coreference Resolution for Morphologically Rich Languages. Adaptation of the Stanford System to Basque.

Author

Soraluze, Ander, Arregi, Olatz, Arregi, Xabier, and Díaz de Ilarraza, Arantza

Subjects
REFERENCE (Linguistics), BASQUE language
Abstract

Copyright of Procesamiento del Lenguaje Natural is the property of Sociedad Espanola para el Procesamiento del Lenguaje Natural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2015

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