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Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
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Wordforms and Meanings: an Updated Report on the LiLa Project ...
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Wordforms and Meanings: an Updated Report on the LiLa Project ...
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Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
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Wordforms and Meanings: an Updated Report on the LiLa Project
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La LiLa Knowledge Base a supporto dell'interoperabilità tra le risorse linguistiche del latino ...
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La LiLa Knowledge Base a supporto dell'interoperabilità tra le risorse linguistiche del latino ...
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The Two Approaches to Word Formation in the LiLa Knowledge Base of Latin Resources ...
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Interlinking through Lemmas. Linking Linguistic Resources to a lexically-based LLOD Knowledge Base ...
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The Two Approaches to Word Formation in the LiLa Knowledge Base of Latin Resources ...
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Interlinking Valency Frames and WordNet Synsets in the LiLa Knowledge Base of Linguistic Resources for Latin ...
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The Two Approaches to Word Formation in the LiLa Knowledge Base of Latin Resources ...
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Abstract:
In this paper, we propose a model to include a derivational lexicon for Latin (Word Formation Latin) within the LiLa Knowledge Base of interlinked linguistic resources for Latin. After a brief introduction on the architecture of LiLa, we discuss the differences between the flat organization of derivational information in LiLa’s Lemma Bank and the hierarchical structure ofWord Formation Latin, showing that the latter contains potentially useful information that is not already available in the former. We describe the modelling of such information in LiLa, exemplifying how different word formation processes are treated. We conclude the paper by showing the complementarity of the two approaches, and outlining the advantages offered by their interconnection. ...
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Keyword:
Latin; Linguistic Linked Data; Morphology
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URL: https://dx.doi.org/10.5281/zenodo.5532500 https://zenodo.org/record/5532500
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Interlinking Valency Frames and WordNet Synsets in the LiLa Knowledge Base of Linguistic Resources for Latin ...
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