Textual Complexity Assessment of Primary School French Manuals
Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2013, Vol 6, Issue 4
Abstract
One of the most challenging tasks in natural language processing is related to the evaluation of textual complexity and of cohesion. Thus, automatic analyzers represent a special interest for their ability of predicting textual complexity having as basis: syntactic, sematic, morphological and lexical factors. Nevertheless, the elements used for evaluating textual complexity are tightly connected to scope and context. For this reason a purely technical analysis based only on individual metrics, without taking into account the constraints of psychology, human model, age and motivation is insufficient in order to make a proper prediction. Additionally, there are third party aspects which are correlated with the analysis of complexity like: stages of acquisition, fluency or accuracy. To resume, textual complexity metrics represent important indicators which help to better understand online texts, publications, books, papers or other forms of written textual representations
Authors and Affiliations
Lucia Larise Stavarache, Mihai Dascalu, Stefan Trausan-Matu, Philippe Dessus
Keywords
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