AbstractThis study describes a learner corpus that includes linguistic data produced by learners of English as a foreign language (EFL learners) with respect to pronunciation, writing, listening, and reading. Among these four types of linguistic data, reading data were used in the development of a formula for predicting the readability of sentences for EFL learners. The experimental results demonstrated that the developed readability formula was approximately 65% effective in predicting readability assessments by EFL learners
The field of learner corpus research (LCR) emerged at the turn of the 1990s when academics and publi...
This paper presents an approach to computer-assisted teaching of reading abilities using corpus data...
<p>Readability formulas can be used to better match readers and texts. Current state-of-the-ar...
AbstractThis study describes a learner corpus that includes linguistic data produced by learners of ...
A learner’s language data of speaking, writing, listening, and reading have been compiled for a lear...
In order to develop effective teaching methods and computer-assisted language teaching systems for l...
Corpus analysis has potential as a source of insight on language constituency. We describe a project...
This paper describes the relative effectiveness of seven variables of three categories in predicting...
A learner corpus is a useful resource for developing automatic assessment techniques for implementat...
<p>Recent advances have facilitated major improvements in developing intelligent and purpose-o...
In this paper we consider the problem of building a system to predict readability of natural-languag...
The volume explores the potential of using both cross-sectional and longitudinal learner corpora to ...
This paper addresses the task of readability assessment for the texts aimed at second language (L2) ...
ABSTRACT. Improved readability ratings for second-language readers could have a huge impact in areas...
This paper provides a broad overview of three separate but related areas of research. Firstly, corpu...
The field of learner corpus research (LCR) emerged at the turn of the 1990s when academics and publi...
This paper presents an approach to computer-assisted teaching of reading abilities using corpus data...
<p>Readability formulas can be used to better match readers and texts. Current state-of-the-ar...
AbstractThis study describes a learner corpus that includes linguistic data produced by learners of ...
A learner’s language data of speaking, writing, listening, and reading have been compiled for a lear...
In order to develop effective teaching methods and computer-assisted language teaching systems for l...
Corpus analysis has potential as a source of insight on language constituency. We describe a project...
This paper describes the relative effectiveness of seven variables of three categories in predicting...
A learner corpus is a useful resource for developing automatic assessment techniques for implementat...
<p>Recent advances have facilitated major improvements in developing intelligent and purpose-o...
In this paper we consider the problem of building a system to predict readability of natural-languag...
The volume explores the potential of using both cross-sectional and longitudinal learner corpora to ...
This paper addresses the task of readability assessment for the texts aimed at second language (L2) ...
ABSTRACT. Improved readability ratings for second-language readers could have a huge impact in areas...
This paper provides a broad overview of three separate but related areas of research. Firstly, corpu...
The field of learner corpus research (LCR) emerged at the turn of the 1990s when academics and publi...
This paper presents an approach to computer-assisted teaching of reading abilities using corpus data...
<p>Readability formulas can be used to better match readers and texts. Current state-of-the-ar...