Postdoctoral position in Natural Language Processing: Text Simplification

Project description

The goal of the ALECTOR project is to develop and test resources that make it possible to propose simplified texts for children who face major problems in reading and understanding written texts.

Job description

The successful candidate will develop methods for text simplification, which will be applied to French, with a focus on children with dyslexia.

The work will be built on existing simplification systems, which will be used for comparison, such as LEXenstein, which is specific for lexical simplification, or the methods described in (Zhang and Lapata, 2017), (Nisioi et al., 2017) or (Stajner et al., 2017).

Evaluation will be both automatic, by using MT metrics on existing corpora, and manual, in order to focus on specific issues.

Tests will be made with existing English datasets and tools, but will also be applied to French.

The appointed researcher will work in close collaboration with all teams involved in the ALECTOR project.

Requirements and qualifications

Additional information


Applications should include the following:

and be sent to Anne-Laure Ligozat (annlor[@]