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Reference : UMR7114-MYRDJE-001
Workplace : NANTERRE
Date of publication : Wednesday, October 02, 2019
Scientific Responsible name : Delphine Battistelli
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 December 2019
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly
Description of the thesis topic
This thesis project takes place within the ANR TextToKids project (2019-2022). It is at the crossroads of linguistics, psycholinguistics and natural language processing (NLP).
The thesis will initially consist in the verification of the elements recorded in the state of the art through a confrontation with the data of the project (in particular under a textometric angle and by couples of corpora children / adults) and to discover new linguistic characteristics. A significant contribution has already been made on the side of a fine characterization of the linguistic labeling of lexicalized emotions, based on already existing lexicons, which distinguish basic emotions vs. complex. Other types of emotions, not lexicalized and therefore more complex to describe linguistically, will then be systematically be explored.
The TextToKids project aims to facilitate the writing and the filtering of texts for children, especially but not only in order to tell them current events (e.g., presidential elections, Brexit, reception of migrants in France, etc.) in respect of their language skills. The targeted age group is that of young readers, that is, the 7-12 age group. The consortium, which brings together linguists, computer scientists and specialized journalists, will seek to characterize the linguistic constraints to be respected for such a purpose and to propose assistive tools (automated textual analysis, search engine, reformulation, good practices). In terms of benefits, the project works in the direction of a "children's Internet" and opens a way to other modalities (speech, images).
TextToKids Project ANR funded
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