Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Artificial Intelligence
Sentence reduction for automatic text summarization
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Generation that exploits corpus-based statistical knowledge
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A machine learning approach to the automatic evaluation of machine translation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Probabilistic text structuring: experiments with sentence ordering
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Headline generation based on statistical translation
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Sentence Fusion for Multidocument News Summarization
Computational Linguistics
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INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Discriminative Reranking for Natural Language Parsing
Computational Linguistics
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Supervised and unsupervised learning for sentence compression
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Reading level assessment using support vector machines and statistical language models
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Abstractive headline generation using WIDL-expressions
Information Processing and Management: an International Journal
Multi-candidate reduction: Sentence compression as a tool for document summarization tasks
Information Processing and Management: an International Journal
Modeling local coherence: An entity-based approach
Computational Linguistics
Evaluating centering for information ordering using corpora
Computational Linguistics
Choosing the right translation: a syntactically informed classification approach
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Revisiting readability: a unified framework for predicting text quality
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
HLT-SRWS '10 Proceedings of the NAACL HLT 2010 Student Research Workshop
Automatic evaluation of linguistic quality in multi-document summarization
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Cross-language document summarization based on machine translation quality prediction
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Learning simple Wikipedia: a cogitation in ascertaining abecedarian language
CL&W '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics and Writing: Writing Processes and Authoring Aids
Quantitative evaluation of grammaticality of summaries
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Impacts of machine translation and speech synthesis on speech-to-speech translation
Speech Communication
User edits classification using document revision histories
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Modeling coherence in ESOL learner texts
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
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Sentence fluency is an important component of overall text readability but few studies in natural language processing have sought to understand the factors that define it. We report the results of an initial study into the predictive power of surface syntactic statistics for the task; we use fluency assessments done for the purpose of evaluating machine translation. We find that these features are weakly but significantly correlated with fluency. Machine and human translations can be distinguished with accuracy over 80%. The performance of pairwise comparison of fluency is also very high---over 90% for a multi-layer perceptron classifier. We also test the hypothesis that the learned models capture general fluency properties applicable to human-written text. The results do not support this hypothesis: prediction accuracy on the new data is only 57%. This finding suggests that developing a dedicated, task-independent corpus of fluency judgments will be beneficial for further investigations of the problem.