Keywords: Readability assessment; Machine learning; Dependency parsing; Weka
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16
Alusio; S.; Specia; L.; Gasperin; C.; and Scarton; C. (2010). Readability assessment for text simplification. In Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP nfor Building Educational Applications; pages 1–9.
Björnsson; C. H. (1968). Läsbarhet. Liber; Stockholm.
Borin; L.; Forsberg; M.; and Roxendal; J. (2012). Korp – the corpus infrastructure of språkbanken. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12).
Chall; J. S. and Dale; E. (1995). Readability revisited: The new Dale–Chall readability formula. Brookline Books; Cambride; MA.
Coleman; M. and Liau; T. L. (1975). A computer readability formula designed for machine scoring. Journal of Applied Psychology; 60:283–284.
Collins-Thompson; K. and Callan; J. (2004). A Language Modeling Approach to Predicting Reading Difficulty. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics.
Dale; E. and Chall; J. S. (1949). The concept of readability. Elementary English; 26(23).
Davison; A. and Kantor; R. N. (1982). On the failure of readability formulas to define readable texts: A case study from adaptations. Reading Research Quarterly; 17(2):187–209.
Dell’Orletta; F.; Montemagni; S.; and Venturi; G. (2011). READ-IT: Assessing Readability of Italian Texts with a View to Text Simplification. In Proceedings of the 2nd Workshop on Speech and Language Processing for Assistive Technologies; pages 73–83.
Falkenjack; J. and Heimann Mühlenbock; K. (2012). Readability as probability. In Proceedings of The Fourth Swedish Language Technology Conference; pages 27–28.
Feng; L. (2010). Automatic Readability Assessment. PhD thesis; City University of New York.
Flesch; R. (1948). A new readibility yardstick. Journal of Applied Psychology; 32(3):221–233.
Fry; E. B. (1968). A readability formula that saves time. Journal of Reading; 11:513–516.
Heilman; M. J.; Collins-Thompson; K.; Callan; J.; and Eskenazi; M. (2007). Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts. In Proceedings of NAACL HLT 2007; pages 460–467.
Heilman; M. J.; Collins-Thompson; K.; and Eskenazi; M. (2008). An Analysis of Statistical Models and Features for Reading Difficulty Prediction. In Proceedings of the Third ACL Workshop on Innovative Use of NLP for Building Educational Applications; pages 71–79.
Heimann Mühlenbock; K. (2013). I see what you mean. Assessing readability for specific target groups. Dissertation; Språkbanken; Dept of Swedish; University of Gothenburg.
Hultman; T. G. and Westman; M. (1977). Gymnasistsvenska. LiberLäromedel; Lund. Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); Linköping Electronic Conference Proceedings #85 [page 38 of 474]
Kincaid; J. P.; Fishburne; R. P.; Rogers; R. L.; and Chissom; B. S. (1975). Derivation of new readability formulas (Automated Readability Index; Fog Count; and Flesch Reading Ease Formula) for Navy enlisted personnel. Technical report; U.S. Naval Air Station; Millington; TN.
Liu; H. (2008). Dependency distance as a metric of language comprehension difficulty. Journal of Cognitive Science; 9(2):169–191.
McLaughlin; G. H. (1969). SMOG grading - a new readability formula. Journal of Reading; 22:639–646.
Miller; G. A. (1995). WordNet: A Lexical Database for English. Communications of the ACM; 38(11):39–41.
Mühlenbock; K. (2008). Readable; Legible or Plain Words – Presentation of an easy-to-read Swedish corpus. In Saxena; A. and Viberg; Å.; editors; Multilingualism: Proceedings of the 23rd Scandinavian Conference of Linguistics; volume 8 of Acta Universitatis Upsaliensis; pages 327–329; Uppsala; Sweden. Acta Universitatis Upsaliensis.
Mühlenbock; K. and Johansson Kokkinakis; S. (2009). LIX 68 revisited - An extended readability measure. In Mahlberg; M.; González-Díaz; V.; and Smith; C.; editors; Proceedings of the Corpus Linguistics Conference CL2009; Liverpool; UK.
Nenkova; A.; Chae; J.; Louis; A.; and Pitler; E. (2010). Structural Features for Predicting the Linguistic Quality of Text Applications to Machine Translation; Automatic Summarization and Human–Authored Text.; pages 222–241. Empirical Methods in NLG. Springer-Verlag. Dependency Parsing. In Proceedings of the fifth international conference on Language Resources
Nivre; J.; Hall; J.; and Nilsson; J. (2006). MaltParser: A Data-Driven Parser-Generator for and Evaluation (LREC2006); pages 2216–2219.
Petersen; S. (2007). Natural language processing tools for reading level assessment and text simplification for bilingual education. PhD thesis; University of Washington; Seattle; WA.
Petersen; S. and Ostendorf; M. (2009). A machine learning approach toreading level assessment. Computer Speech and Language; 23:89–106.
Pitler; E. and Nenkova; A. (2008). Revisiting Readability: A Unified Framework for Predicting Text Quality. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing; pages 186–195; Honolulu; HI.
Platt; J. C. (1998). Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines. Technical Report MSR-TR-98-14; Microsoft Research.
Schwarm; S. E. and Ostendorf; M. (2005). Reading level assessment using support vector machines and statistical language models. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics.
Sjöholm; J. (2012). Probability as readability: A new machine learning approach to readability assessment for written Swedish. Master’s thesis; Linköping University.
Smith; C.; Danielsson; H.; and Jönsson; A. (2012). A good space: Lexical predictors in vector space evaluation. In Proceedings of the eighth international conference on Language Resources and Evaluation (LREC); Istanbul; Turkey.
Witten; I. H.; Frank; E.; and Hall; M. A. (2011). Data Mining: Practical Machine Learning Tools and Techniques. The Morgan Kaufmann series in data management system. Morgan Kaufmann Publishers; third edition.