Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10045/49291
Title: | Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches |
---|---|
Other Titles: | QTLeap - Traducción de calidad mediante tratamientos profundos de ingeniería lingüística |
Authors: | Agirre Bengoa, Eneko | Alegría Loinaz, Iñaki | Aranberri, Nora | Artetxe, Mikel | Barrena, Ander | Branco, António | Díaz de Ilarraza Sánchez, Arantza | Gojenola Galletebeitia, Koldo | Labaka Intxauspe, Gorka | Otegi, Arantxa | Sarasola Gabiola, Kepa |
Keywords: | Machine translation | Deep language engineering | Semantics | LOD | Traducción automática | Análisis profundo | Semántica |
Knowledge Area: | Lenguajes y Sistemas Informáticos |
Issue Date: | Sep-2015 |
Publisher: | Sociedad Española para el Procesamiento del Lenguaje Natural |
Citation: | Procesamiento del Lenguaje Natural. 2015, 55: 169-172 |
Abstract: | The goal of this FP7 European project is to contribute for the advancement of quality machine translation by pursuing an approach that further relies on semantics, deep parsing and linked open data. | El objetivo de este proyecto europeo FP7 es contribuir a la mejora en la calidad de la traducción automática mediante el uso de semántica, análisis sintáctico profundo y el uso de datos abiertos entrelazados. |
Sponsor: | The research leading to these results was carried out as part of the QtLeap project funded by European Community (FP7-ICT-2013.4.1-610516). |
URI: | http://hdl.handle.net/10045/49291 |
ISSN: | 1135-5948 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © Sociedad Española para el Procesamiento del Lenguaje Natural |
Peer Review: | si |
Publisher version: | http://journal.sepln.org/sepln/ojs/ojs/index.php/pln |
Appears in Collections: | Procesamiento del Lenguaje Natural - Nº 55 (2015) Research funded by the EU |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
![]() | 1,02 MB | Adobe PDF | Open Preview | |
Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.