Assessing text readability is a time-honored problem that has even more relevance in
today's information-rich world. This article provides background on how readability of texts is …

Automatic essay scoring (AES) refers to the process of scoring free text responses to given
prompts, considering human grader scores as the gold standard. Writing such essays is an …

Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is
traditionally treated as a classification problem in NLP research. In this paper, we propose …

Background: Mental disorders such as depression, bipolar disorder, and schizophrenia are
common, incapacitating, and have the potential to be fatal. Despite the prevalence and …

The purpose of automatic text simplification is to adapt the content of documents in order to
make them easier to understand by a given population or to improve the performance of …

Readability research has a long and rich tradition, but there has been too little focus on
general readability prediction without targeting a specific audience or text genre. Moreover …

Vocabulary development is essential for learning, but conventional vocabulary assessments
lack the range and flexibility to support K? 12 classroom teachers in making instructional …

This paper investigates the effectiveness of 65 cohesion-based variables that are commonly
used in the literature as predictive features to assess text readability. We evaluate the …

Readability aims to assess the difficulty of texts based on various linguistic predictors (the
lexicon used, the complexity of sentences, the coherence of the text, etc.). It is an active field …

This thesis analyses German L2 writing proficiency by means 398 complexity measures from
the domains of i) language use; ii) human language processing; iii) discourse and encoding …