Suchergebnisse

Even in the 21st century, paper dictionaries are still compiled and developed using standard word processors. Many publishing companies are, nowadays, working on converting their dictionaries into computer readable documents, so that they can be used to prepare new features, such as making them available online. Luckily, most of these publishers can pay review teams to fix and even enhance these dictionaries. Unfortunately, research institutions cannot hire that amount of workers. In this article we present the process of retreading a Galician dictionary that was first de- veloped and compiled using Microsoft Word. This dictionary was converted, through automatic rewriting, into a Text Encoding Initiative schema subset. This process will be detailed, and the problems found will be discussed. Given a recent normative that changed the Galician or- thography, the dictionary has undergone a semi-automatic modernization process. Finally, two applications for the obtained dictionaries will be shown. ; This work was partially supported by Grant TIN2012-38584-C06-04, supported by the Ministry of Economy and Competitiveness of the Spanish Government on "Adquisición de escenarios de conocimiento a través de la lectura de textos: Desarrollo y aplicación de recursos para el procesamiento lingüístico del gallego (SKATeR-UVIGO)"; and by the Xunta de Galicia through the "Rede de Lexicografía (Relex)" (Grant CN 2012/290) and the "Rede de Tecnoloxías e análise dos datos lingüísticos" (Grant CN ...

Series : OASIcs - Open access series in informatics, ISSN 2190-6807, vol. 29 ; In this document we describe the process of aligning two standard monolingual dictionaries: a Portuguese language dictionary and a Galician synonym dictionary. The main goal of the project is to provide an online dictionary that can show, in parallel, definitions and synonyms in Portuguese and Galician for a specific word, written in Portuguese or Galician. These two languages are very close to each other, and that is the main reason we expect this idea to be viable. The main drawback is the lack of a good and free translation dictionary between these two languages, namely, a dictionary that can cover lexicons with more than one hundred thousand different words. To solve this issue we defined a translation function, based on substitutions, that is able to achieve an F1 score of 0.88 on a manually verified dictionary of nine thousand words. Using this same translation function to align a Portuguese–Galician dictionary we obtained almost 50% of the dictionary lexicon (more than eighty thousand words) alignment. ; This work was partially supported by Grant TIN2012-38584-C06-04, supported by the Ministry of Economy and Competitiveness of the Spanish Government on "Adquisición de escenarios de conocimiento a través de la lectura de textos: Desarrollo y aplicación de recursos para el procesamiento lingüístico del gallego (SKATeR-UVIGO)"; by the Xunta de Galicia through the "Rede de Lexicografía (Relex)" (Grant CN 2012/290) and the "Rede de Tecnoloxías e análise dos datos lingüísticos" (Grant CN 2012/179); and by The Per-Fide project (grant reference no. PTDC/CLEL-LI/108948/2008, from the Portuguese Foundation for Science and Technology, and co-funded by the European Regional Development ...

In this paper we present a method for enlarging wordnets focusing on multi-word terms and utilising data from parallel corpora. Our approach is validated using the Galician and Portuguese wordnets. The multi-word candidates obtained in this experiment were manually validated, obtaining a 73.2% accuracy for the Galician language and a 75.5% for the Portuguese language. ; Presentamos un método para la ampliación de wordnets en el ámbito de las unidades pluriverbales, usando datos de corpus paralelos y aplicando el método a la expansión de los wordnets del gallego y del portugués. Las unidades pluriverbales que se obtienen en este experimento se validaron manualmente, obteniendo una precisión del 73.2% para el gallego y del 75.5% para el portugués. ; This research has been carried out thanks to the project DeepReading (RTI2018-096846-B-C21) supported by the Ministry of Science, Innovation and Universities of the Spanish Government and the European Fund for Regional Development (MCIU/AEI/FEDER), and was partially funded by Portuguese National funds (PIDDAC), through the FCT – Fundação para a Ciência e Tecnologia and FCT/MCTES under the scope of the project UIDB/05549/2020.

In this paper the methodology and a detailed evaluation of the results of the expansion of the Galician WordNet using the WN-Toolkit are presented. This toolkit allows the creation and expansion of wordnets using the expand model. In our experiments we have used methodologies based on dictionaries and parallel corpora. The evaluation of the results has been performed both in an automatic and in a manual way, allowing a comparison of the precision values obtained with both evaluation procedures. The manual evaluation provides details about the source of the errors. This information has been very useful for the improvement of the toolkit and for the correction of some errors in the reference WordNet for Galician. ; En este artículo se presenta la metodología utilizada en la expansión del WordNet del gallego mediante el WN-Toolkit, así como una evaluación detallada de los resultados obtenidos. El conjunto de herramientas incluido en el WN-Toolkit permite la creación o expansión de wordnets siguiendo la estrategia de expansión. En los experimentos presentados en este artículo se han utilizado estrategias basadas en diccionarios y en corpus paralelos. La evaluación de los resultados se ha realizado de manera tanto automática como manual, permitiendo así la comparación de los valores de precisión obtenidos. La evaluación manual también detalla la fuente de los errores, lo que ha sido de utilidad tanto para mejorar el propio WN-Toolkit, como para corregir los errores del WordNet de referencia para el gallego. ; This research has been carried out thanks to the Project SKATeR (TIN2012-38584-C06-01 and TIN2012-38584-C06-04) supported by the Ministry of Economy and Competitiveness of the Spanish Government.

This study describes the introduction of verbal idioms in the Galician language version (Galnet) of the semantic network WordNet; a network that does not traditionally include many phraseological units. To enhance Galnet, a list of 803 Galician verbal idioms was developed to then review each of them individually and assess whether they could be introduced in an existing WordNet synset (a group of synonyms expressing the same concept) or not. Of those 803 idioms, 490 (61%) could be included in this network. Besides, Galnet was enlarged with 750 extra verbal idioms, most of them synonyms or variants of the former. In this study, we present the working methodology for the experiment and an analysis of the results, to help understand the most important problems found when trying to introduce idioms in Galnet. We also discuss the reasons preventing the inclusion of some expressions, and the criteria used to introduce the idioms that finally made it into the network. ; This research has been supported by the Xunta de Galicia and the European Union (under grant GRC2013/40) and by the Ministry of Economy and Competitiveness of the Spanish Government (Project TUNER: Automatic domain adaptation for semantic processing, TIN2015-65308-C5-1-R).

This study describes the introduction of verbal idioms in the Galician language version (Galnet) of the semantic network WordNet; a network that does not traditionally include many phraseological units. To enhance Galnet, a list of 803 Galician verbal idioms was developed to then review each of them individually and assess whether they could be introduced in an existing WordNet synset (a group of synonyms expressing the same concept) or not. Of those 803 idioms, 490 (61%) could be included in this network. Besides, Galnet was enlarged with 750 extra verbal idioms, most of them synonyms or variants of the former. In this study, we present the working methodology for the experiment and an analysis of the results, to help understand the most important problems found when trying to introduce idioms in Galnet. We also discuss the reasons preventing the inclusion of some expressions, and the criteria used to introduce the idioms that finally made it into the network ; This research has been supported by the Xunta de Galicia and the European Union (under grant GRC2013/40) and by the Ministry of Economy and Competitiveness of the Spanish Government (Project TUNER: Automatic domain adaptation for semantic processing, TIN2015-65308-C5-1-R) ; SI