A statistical model for scientific readability
Proceedings of the tenth international conference on Information and knowledge management
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Reading level assessment using support vector machines and statistical language models
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Discourse generation using utility-trained coherence models
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Modeling local coherence: An entity-based approach
Computational Linguistics
A machine learning approach to reading level assessment
Computer Speech and Language
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
Improving word sense disambiguation in lexical chaining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
An analysis of statistical models and features for reading difficulty prediction
EANL '08 Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications
Automatic evaluation of text coherence: models and representations
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Readability assessment for text simplification
IUNLPBEA '10 Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
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 simplification of spanish text for e-accessibility
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part I
Ranking-based readability assessment for early primary children's literature
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
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
How unfamiliar words in smartphone manuals affect senior citizens
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: applications and services for quality of life - Volume Part III
Recognition of understanding level and language skill using measurements of reading behavior
Proceedings of the 19th international conference on Intelligent User Interfaces
Text simplification resources for Spanish
Language Resources and Evaluation
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Several sets of explanatory variables - including shallow, language modeling, POS, syntactic, and discourse features - are compared and evaluated in terms of their impact on predicting the grade level of reading material for primary school students. We find that features based on in-domain language models have the highest predictive power. Entity-density (a discourse feature) and POS-features, in particular nouns, are individually very useful but highly correlated. Average sentence length (a shallow feature) is more useful - and less expensive to compute - than individual syntactic features. A judicious combination of features examined here results in a significant improvement over the state of the art.