Conversion of the Spanish WordNet databases into a Prolog-readable format.

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Title: Conversion of the Spanish WordNet databases into a Prolog-readable format.
Authors: Julián-Iranzo, Pascual1 (AUTHOR) Pascual.Julian@uclm.es, Rigau, Germán2 (AUTHOR) german.rigau@ehu.eus, Sáenz-Pérez, Fernando3 (AUTHOR) fernan@sip.ucm.es, Velasco-Crespo, Pablo1 (AUTHOR) Pablo.Velasco@uclm.es
Source: Language Resources & Evaluation. Jun2025, Vol. 59 Issue 2, p1631-1657. 27p.
Subjects: Systems software, Programming languages, Logic programming, Computer software testing, Spanish language
Abstract: WordNet is a lexical database for English that is supplied in a variety of formats, including one compatible with the Prolog programming language. Given the success and usefulness of WordNet, wordnets of other languages have been developed, including Spanish. The Spanish WordNet, like others, does not provide a version compatible with Prolog. This work aims to fill this gap by translating the Multilingual Central Repository (MCR) version of the Spanish WordNet into a Prolog -compatible format. Thanks to this translation, a set of Spanish lexical databases are obtained, which allows access to WordNet information using declarative techniques and the deductive capabilities of the Prolog language. Also, this work facilitates the development of other programs to analyze the obtained information. Remarkably, we have adapted the technique of differential testing, used in software testing, to verify the correctness of this conversion. In addition, to ensure the consistency of the generated Prolog databases, as well as the databases from which we started, a complete series of integrity constraint tests have been carried out. In this way we have discovered some inconsistency problems in the MCR databases that have a reflection in the generated Prolog databases and have been reported to the owners of those databases. [ABSTRACT FROM AUTHOR]
Copyright of Language Resources & Evaluation is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.)
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  Data: Conversion of the Spanish WordNet databases into a Prolog-readable format.
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  Data: <searchLink fieldCode="DE" term="%22Systems+software%22">Systems software</searchLink><br /><searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Logic+programming%22">Logic programming</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+testing%22">Computer software testing</searchLink><br /><searchLink fieldCode="DE" term="%22Spanish+language%22">Spanish language</searchLink>
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  Data: WordNet is a lexical database for English that is supplied in a variety of formats, including one compatible with the Prolog programming language. Given the success and usefulness of WordNet, wordnets of other languages have been developed, including Spanish. The Spanish WordNet, like others, does not provide a version compatible with Prolog. This work aims to fill this gap by translating the Multilingual Central Repository (MCR) version of the Spanish WordNet into a Prolog -compatible format. Thanks to this translation, a set of Spanish lexical databases are obtained, which allows access to WordNet information using declarative techniques and the deductive capabilities of the Prolog language. Also, this work facilitates the development of other programs to analyze the obtained information. Remarkably, we have adapted the technique of differential testing, used in software testing, to verify the correctness of this conversion. In addition, to ensure the consistency of the generated Prolog databases, as well as the databases from which we started, a complete series of integrity constraint tests have been carried out. In this way we have discovered some inconsistency problems in the MCR databases that have a reflection in the generated Prolog databases and have been reported to the owners of those databases. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Language Resources & Evaluation is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10579-024-09752-w
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              Text: Jun2025
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