Developing and testing readability measurements for second language learners


Autoria(s): Wang, Hao Xing
Data(s)

2016

Resumo

This research constructed a readability measurement for French speakers who view English as a second language. It identified the true cognates, which are the similar words from these two languages, as an indicator of the difficulty of an English text for French people. A multilingual lexical resource is used to detect true cognates in text, and Statistical Language Modelling to predict the predict the readability level. The proposed enhanced statistical language model is making a step in the right direction by improving the accuracy of readability predictions for French speakers by up to 10% compared to state of the art approaches. The outcome of this study could accelerate the learning process for French speakers who are studying English. More importantly, this study also benefits the readability estimation research community, presenting an approach and evaluation at sentence level as well as innovating with the use of cognates as a new text feature.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/95111/

Publicador

Queensland University of Technology

Relação

http://eprints.qut.edu.au/95111/5/Haoxing_Wang_Thesis.pdf

Wang, Hao Xing (2016) Developing and testing readability measurements for second language learners. Masters by Research thesis, Queensland University of Technology.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Readability Assessment #Cognate Identification #Multilingual lexical #Machine Learning #Statistical Language Model
Tipo

Thesis