The importance of context and colloquial register in PLN translators based on Artificial Intelligence
A. González, C. Lloret, and D. Raboso.
(June 2022)

It has been developed a traditional model based on Artificial Intelligence for natural language programming pursuant to RNN and a big dataset. The model makes its greatest contribution by improving the accuracy in the translation of informal language. The methodology consists on studying the training model that appy each of them (Goole Translate, Deepl and Bing). To do this, we have designed a dataset which includes more than 200 registers of poetic verses and 230 popular sentences - with differences between folk sayings and proverbs. Our aim is training a model and validating the results obtained from machine translators.

URL: https://doi.org/10.21428%2F36973002.83481373
DOI: 10.21428/36973002.83481373
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@preprint{gonzalez2022importance,
  abstract = {It has been developed a traditional model based on Artificial Intelligence for natural language programming pursuant to RNN and a big dataset. The model makes its greatest contribution by improving the accuracy in the translation of informal language. The methodology consists on studying the training model that appy each of them (Goole Translate, Deepl and Bing). To do this, we have designed a dataset which includes more than 200 registers of poetic verses and 230 popular sentences - with differences between folk sayings and proverbs. Our aim is training a model and validating the results obtained from machine translators. },
  added-at = {2022-06-19T11:55:23.000+0200},
  author = {González, Adrián Hernández and Lloret, Celia Medina and Raboso, Diana Díaz},
  biburl = {https://www.bibsonomy.org/bibtex/247e566710dcf4cce2b8137ec02143c11/thebibleofai},
  description = {The importance of context and colloquial register in PLN translators based on Artificial Intelligence},
  doi = {10.21428/36973002.83481373},
  editor = {of AI ™ OpenScience, The Bible},
  institution = {The Bible of AI ™},
  interhash = {5aef2ebdca55d588d33f0b47ac69fbb9},
  intrahash = {47e566710dcf4cce2b8137ec02143c11},
  journal = {The Bible of AI ™ OpenScience},
  keywords = {activationfunctions ai artificialintelligence machinelearning neuralnetworks translationmodels},
  month = jun,
  organization = {The Bible of AI ™},
  publisher = {{PubPub}},
  timestamp = {2022-06-19T11:55:23.000+0200},
  title = {The importance of context and colloquial register in {PLN} translators based on Artificial Intelligence},
  url = {https://doi.org/10.21428%2F36973002.83481373},
  year = 2022
}

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%1 gonzalez2022importance
%A González, Adrián Hernández
%A Lloret, Celia Medina
%A Raboso, Diana Díaz
%D 2022
%E of AI ™ OpenScience, The Bible
%I PubPub
%J The Bible of AI ™ OpenScience
%K activationfunctions ai artificialintelligence machinelearning neuralnetworks translationmodels
%R 10.21428/36973002.83481373
%T The importance of context and colloquial register in PLN translators based on Artificial Intelligence
%U https://doi.org/10.21428%2F36973002.83481373
%X It has been developed a traditional model based on Artificial Intelligence for natural language programming pursuant to RNN and a big dataset. The model makes its greatest contribution by improving the accuracy in the translation of informal language. The methodology consists on studying the training model that appy each of them (Goole Translate, Deepl and Bing). To do this, we have designed a dataset which includes more than 200 registers of poetic verses and 230 popular sentences - with differences between folk sayings and proverbs. Our aim is training a model and validating the results obtained from machine translators.

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The importance of context and colloquial register in PLN translators based on Artificial Intelligence
A. González, C. Lloret, and D. Raboso.
(June 2022)

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The importance of context and colloquial register in PLN translators based on Artificial IntelligenceA. González, C. Lloret, and D. Raboso. (June 2022)

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The importance of context and colloquial register in PLN translators based on Artificial Intelligence
A. González, C. Lloret, and D. Raboso.
(June 2022)