Abstract
We present the section of the MegaLite corpus based on literary texts in Portuguese. This new section has been developed and adapted to be used for Computational Creativity tasks, such as Natural Language Processing, Automatic Text Generation (ATG), and other similar purposes. We highlight characteristics of the Portuguese section, such as the numbers of documents, authors, sentences and tokens and also how it is structured and formatted. We show how the ATG algorithms, which we have previously developed, behave when trained on this corpus, by using a human evaluation protocol where a mixture of automatically generated and natural texts is classified, using four criteria: grammaticality, coherence, identification of context, and an adapted Turing test.
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Notes
- 1.
This corpus is available on the official website of the University of Stuttgart https://www.ims.uni-stuttgart.de/en/research/resources/corpora/riqua/.
- 2.
A detailed description of Freeling POS tags can be found at https://freeling-user-manual.readthedocs.io/en/latest/tagsets/tagset-pt/.
- 3.
Verbs, adjectives, and nouns.
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Morgado, I., Moreno-Jiménez, LG., Torres-Moreno, JM., Wedemann, R. (2022). MegaLitePT: A Corpus of Literature in Portuguese for NLP. In: Xavier-Junior, J.C., Rios, R.A. (eds) Intelligent Systems. BRACIS 2022. Lecture Notes in Computer Science(), vol 13654 . Springer, Cham. https://doi.org/10.1007/978-3-031-21689-3_19
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