Abstract
In this paper we introduced an extended bilingual version of the literary corpus MegaLite. This new version contains literary documents in Spanish and French. The motivation is to provide to the community a specialized and free linguistic support for different NLP tasks. The creation of this genre of corpus is very important for designing algorithms of Text Generation, Text Classification and Sentiment Analysis. The corpora contain about 6 500 documents: 1 500 in French (MegaLite-Fr) and near of 5 000 in Spanish (MegaLite-Es), all collected manually into the genres narrative, poetry and plays. A shallow linguistic comparison using the Jensen-Shannon divergences is presented and discussed. The MegaLite-2 corpora will be available to the community as a free resource in several suitable formats.
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Notes
- 1.
Different linguistic resources of the MegaLite-2 corpus is available on the website: http://juanmanuel.torres.free.fr/corpus/megalite
- 2.
Lexical words are those containing the most important information in the text (Adjectives, nouns, verbs and adverbs).
- 3.
Like as .pdf, .txt, .html, .doc, .docx, .odt, etc.
- 4.
- 5.
- 6.
The Gensim library is available on the website https://pypi.org/project/gensim.
- 7.
A POS tag offers the grammatical information concerning a determined word, a more detailed information about the POS tag used in our work, can be found in: https://freeling-user-manual.readthedocs.io/en/latest/tagsets/.
- 8.
Approximately translation: In death they will leave suffering and pain.
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Acknowledgments
This work was funded by the Consejo Nacional de Ciencia y Tecnología (Conacyt, México), grant number 661101, and partially by the Université d’Avignon/Laboratoire Informatique d’Avignon (LIA), France.
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Moreno-Jiménez, LG., Torres-Moreno, JM. (2022). MegaLite-2: An Extended Bilingual Comparative Literary Corpus. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_67
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DOI: https://doi.org/10.1007/978-3-030-80119-9_67
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