Automatic Generation of Literary Sentences in French
In this paper, we describe a model for the automatic generation of literary sentences in French. Although there has been much recent effort directed towards automatic text generation in general, the generation of creative, literary sentences that is not restricted to a specific genre, which we appro...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/16/3/142 |
| _version_ | 1797613949932273664 |
|---|---|
| author | Luis-Gil Moreno-Jiménez Juan-Manuel Torres-Moreno Roseli Suzi. Wedemann |
| author_facet | Luis-Gil Moreno-Jiménez Juan-Manuel Torres-Moreno Roseli Suzi. Wedemann |
| author_sort | Luis-Gil Moreno-Jiménez |
| collection | DOAJ |
| description | In this paper, we describe a model for the automatic generation of literary sentences in French. Although there has been much recent effort directed towards automatic text generation in general, the generation of creative, literary sentences that is not restricted to a specific genre, which we approached in this work, is a difficult task that is not commonly treated in the scientific literature. In particular, our present model has not been previously applied to the generation of sentences in the French language. Our model was based on algorithms that we previously used to generate sentences in Spanish and Portuguese and on a new corpus, which we constructed and present here, consisting of literary texts in French, called M<span style="font-variant: small-caps;">ega</span>L<span style="font-variant: small-caps;">ite</span><sup><span style="font-variant: small-caps;">fr</span></sup>. Our automatic text generation algorithm combines language models, shallow parsing, the canned text method, and deep learning artificial neural networks. We also present a manual evaluation protocol that we propose and implemented to assess the quality of the artificial sentences generated by our algorithm, by testing if they fulfil four simple criteria. We obtained encouraging results from the evaluators for most of the desired features of our artificially generated sentences. |
| first_indexed | 2024-03-11T07:02:48Z |
| format | Article |
| id | doaj.art-aa23b73b0df94c3498f6e6276d81b497 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-11T07:02:48Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-aa23b73b0df94c3498f6e6276d81b4972023-11-17T09:09:07ZengMDPI AGAlgorithms1999-48932023-03-0116314210.3390/a16030142Automatic Generation of Literary Sentences in FrenchLuis-Gil Moreno-Jiménez0Juan-Manuel Torres-Moreno1Roseli Suzi. Wedemann2Laboratoire Informatique d’Avignon, Université d’Avignon, 339 Chemin des Meinajariès, CEDEX 9, 84911 Avignon, FranceLaboratoire Informatique d’Avignon, Université d’Avignon, 339 Chemin des Meinajariès, CEDEX 9, 84911 Avignon, FranceInstituto de Matemática e Estatística, Universidade do Estado do Rio de Janeiro, Rua São Francisco Xavier 524, Rio de Janeiro 20550-900, BrazilIn this paper, we describe a model for the automatic generation of literary sentences in French. Although there has been much recent effort directed towards automatic text generation in general, the generation of creative, literary sentences that is not restricted to a specific genre, which we approached in this work, is a difficult task that is not commonly treated in the scientific literature. In particular, our present model has not been previously applied to the generation of sentences in the French language. Our model was based on algorithms that we previously used to generate sentences in Spanish and Portuguese and on a new corpus, which we constructed and present here, consisting of literary texts in French, called M<span style="font-variant: small-caps;">ega</span>L<span style="font-variant: small-caps;">ite</span><sup><span style="font-variant: small-caps;">fr</span></sup>. Our automatic text generation algorithm combines language models, shallow parsing, the canned text method, and deep learning artificial neural networks. We also present a manual evaluation protocol that we propose and implemented to assess the quality of the artificial sentences generated by our algorithm, by testing if they fulfil four simple criteria. We obtained encouraging results from the evaluators for most of the desired features of our artificially generated sentences.https://www.mdpi.com/1999-4893/16/3/142computational creativityliterary sentencesautomatic text generationshallow parsing and deep learning |
| spellingShingle | Luis-Gil Moreno-Jiménez Juan-Manuel Torres-Moreno Roseli Suzi. Wedemann Automatic Generation of Literary Sentences in French Algorithms computational creativity literary sentences automatic text generation shallow parsing and deep learning |
| title | Automatic Generation of Literary Sentences in French |
| title_full | Automatic Generation of Literary Sentences in French |
| title_fullStr | Automatic Generation of Literary Sentences in French |
| title_full_unstemmed | Automatic Generation of Literary Sentences in French |
| title_short | Automatic Generation of Literary Sentences in French |
| title_sort | automatic generation of literary sentences in french |
| topic | computational creativity literary sentences automatic text generation shallow parsing and deep learning |
| url | https://www.mdpi.com/1999-4893/16/3/142 |
| work_keys_str_mv | AT luisgilmorenojimenez automaticgenerationofliterarysentencesinfrench AT juanmanueltorresmoreno automaticgenerationofliterarysentencesinfrench AT roselisuziwedemann automaticgenerationofliterarysentencesinfrench |