Automatic recognition of reading levels from user queries
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Predicting reading difficulty with statistical language models
Journal of the American Society for Information Science and Technology
Reading level assessment using support vector machines and statistical language models
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Linear feature-based models for information retrieval
Information Retrieval
A machine learning approach to reading level assessment
Computer Speech and Language
Predicting the readability of short web summaries
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Automatic readability assessment for people with intellectual disabilities
ACM SIGACCESS Accessibility and Computing
Cognitively motivated features for readability assessment
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Revisiting readability: a unified framework for predicting text quality
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Proceedings of the 27th ACM international conference on Design of communication
Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility
Knowledge Maturing Services: Supporting Knowledge Maturing in Organisational Environments
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Learning to predict readability using diverse linguistic features
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A comparison of features for automatic readability assessment
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Computational Linguistics
Automatic detection of accommodation steps as an indicator of knowledge maturing
Interacting with Computers
Measuring Comprehensibility of Web Pages Based on Link Analysis
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Adaptive ranking of search results by considering user's comprehension
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
READ-IT: assessing readability of Italian texts with a view to text simplification
SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
Automatic metrics for genre-specific text quality
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
Building readability lexicons with unannotated corpora
PITR '12 Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations
Do NLP and machine learning improve traditional readability formulas?
PITR '12 Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations
PITR '12 Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations
An "AI readability" formula for French as a foreign language
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Assessing user-specific difficulty of documents
Information Processing and Management: an International Journal
Information Sciences: an International Journal
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In this paper, we present a new method of using statistical models to estimate readability [1]. Language Model is used to capture the content information. It is combined with linguistic feature model by a linear form. Experiments show that this new method has a better performance than the widely used Flesch-Kincaid readability formula.