This work evaluates a system that uses interpolated predictions of reading difficulty that are based on both vocabulary and grammatical features. The combined approach is compared to individual grammar-and language modeling-based approaches. While the vocabulary-based language modeling approach outperformed the grammar-based approach, grammar-based predictions can be combined using confidence scores with the vocabulary-based predictions to produce more accurate predictions of reading difficulty for both first and second language texts. The results also indicate that grammatical features may play a more important role in second language readability than in first language readability.
This study aims to assess the usefulness of multi-word expressions (MWEs) as features for a readabil...
The authors examine the degree to which first (L1) and second language (L2) speakers of English are ...
Text simplification often relies on dated, unproven readability formulas. As an alternative and moti...
This work evaluates a system that uses interpolated predictions of reading difficulty that are based...
ABSTRACT. Improved readability ratings for second-language readers could have a huge impact in areas...
In this paper we consider the problem of building a system to predict readability of natural-languag...
The proper identification of difficulty levels of reading materials prescribed in an educational set...
<p>Recent advances have facilitated major improvements in developing intelligent and purpose-o...
Within English second language acquisition there is an enthusiasm for using authentic text as learni...
Most research efforts related to automatic readability assessment focus on the design of strategies ...
This thesis aims to identify linguistic factors that affect readability and text comprehension, view...
We describe the development of an automatic tool to assess the readability of text documents. Our re...
During the last decade or so the reading comprehension level of students in the Netherlands has decr...
Revisiting Readability: A Unified Framework for Predicting Text Quality We combine lexical, syntacti...
Reading is known to be an essential task in language learning, but finding the appropriate text for ...
This study aims to assess the usefulness of multi-word expressions (MWEs) as features for a readabil...
The authors examine the degree to which first (L1) and second language (L2) speakers of English are ...
Text simplification often relies on dated, unproven readability formulas. As an alternative and moti...
This work evaluates a system that uses interpolated predictions of reading difficulty that are based...
ABSTRACT. Improved readability ratings for second-language readers could have a huge impact in areas...
In this paper we consider the problem of building a system to predict readability of natural-languag...
The proper identification of difficulty levels of reading materials prescribed in an educational set...
<p>Recent advances have facilitated major improvements in developing intelligent and purpose-o...
Within English second language acquisition there is an enthusiasm for using authentic text as learni...
Most research efforts related to automatic readability assessment focus on the design of strategies ...
This thesis aims to identify linguistic factors that affect readability and text comprehension, view...
We describe the development of an automatic tool to assess the readability of text documents. Our re...
During the last decade or so the reading comprehension level of students in the Netherlands has decr...
Revisiting Readability: A Unified Framework for Predicting Text Quality We combine lexical, syntacti...
Reading is known to be an essential task in language learning, but finding the appropriate text for ...
This study aims to assess the usefulness of multi-word expressions (MWEs) as features for a readabil...
The authors examine the degree to which first (L1) and second language (L2) speakers of English are ...
Text simplification often relies on dated, unproven readability formulas. As an alternative and moti...