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Found 8 papers, 0 papers with code
Neural-Driven Search-Based Paraphrase Generation
We study a search-based paraphrase generation scheme where candidate paraphrases are generated by iterated transformations from the original sentence and evaluated in terms of syntax quality, semantic distance, and lexical distance.
Mama/Papa, Is this Text for Me?
Children have less linguistic skills than adults, which makes it more difficult for them to understand some texts, for instance when browsing the Internet.
Neural-Driven Multi-criteria Tree Search for Paraphrase Generation
A good paraphrase is semantically similar to the original sentence but it must be also well formed, and syntactically different to ensure diversity.
FlexEval, cr\'eation de sites web l\'egers pour des campagnes de tests perceptifs multim\'edias (FlexEval, creation of light websites for multimedia perceptual test campaigns)
Nous pr{\'e}sentons FlexEval, un outil de conception et d{\'e}ploiement de tests perceptifs multim{\'e}dias sous la forme d{'}un site web l{\'e}ger.
Construction conjointe d'un corpus et d'un classifieur pour les registres de langue en fran\ccais (Joint building of a corpus and a classifier for language registers in French)
Dans cet article, nous pr{\'e}sentons une approche semi-supervis{\'e}e permettant la construction conjointe d{'}un corpus de textes {\'e}tiquet{\'e}s en registres et d{'}un classifieur associ{\'e}.
Se concentrer sur les diff\'erences : une m\'ethode d'\'evaluation subjective efficace pour la comparaison de syst\`emes de synth\`ese (Focus on differences : a subjective evaluation method to efficiently compare TTS systems * )
Cette m{\'e}thode est appliqu{\'e}e sur un syst{\`e}me de synth{\`e}se de type HTS et un second par s{\'e}lection d{'}unit{\'e}s. La comparaison avec l{'}approche classique montre que cette m{\'e}thode r{\'e}v{\`e}le des {\'e}carts qui jusqu{'}alors n{'}{\'e}taient pas significatifs.
ROOTS: a toolkit for easy, fast and consistent processing of large sequential annotated data collections
The development of new methods for given speech and natural language processing tasks usually consists in annotating large corpora of data before applying machine learning techniques to train models or to extract information.
