Bibliography

Here is the beginning of a bibliography generated from my Master’s thesis, converted between different formats, and parked here for further reference.

Complexity and Readability Assessment

Background

Complexity and Linguistic Complexity Theory

  • S. T. Piantadosi, H. Tily, and E. Gibson, “Word lengths are optimized for efficient communication”, Proceedings of the National Academy of Sciences, vol. 108, iss. 9, pp. 3526-3529, 2011.
  • L. Maurits, A. Perfors, and D. Navarro, “Why are some word orders more common than others? A uniform information density account”, in Proceedings of NIPS, 2010.
  • P. Blache, “Un modèle de caractérisation de la complexité syntaxique”, in TALN 2010, Montréal, 2010.
  • T. Givon, The Genesis of Syntactic Complexity : diachrony, ontogeny, neuro-cognition, evolution, Amsterdam, New York: John Benjamins Publishing Co., 2009.
  • M. Mitchell, Complexity: A Guided Tour, Oxford, New York: Oxford University Press, 2009.
  • C. Beckner, N. C. Ellis, R. Blythe, J. Holland, J. Bybee, J. Ke, M. H. Christiansen, D. Larsen-Freeman, W. Croft, and T. Schoenemann, “Language Is a Complex Adaptive System: Position Paper”, Language As a Complex Adaptive System, vol. 59, iss. 1, pp. 1-26, 2009.
  • M. Finkenthal, Complexity, multi-disciplinarity and beyond, Peter Lang, 2008. Language complexity: typology, contact, change, Miestamo, M., Sinnemäki, K., and Karlsson, F., Eds., Amsterdam, Philadelphia: John Benjamins Publishing Company, 2008. -R. K. Shosted, “Correlating complexity: A typological approach”, Linguistic Typology, vol. 10, iss. 1, pp. 1-40, 2006.
  • Ö. Dahl, The growth and maintenance of linguistic complexity, Amsterdam, Philadelphia: John Benjamins Publishing Company, 2004.
  • J. A. Hawkins, Efficiency and complexity in grammars, Oxford University Press, USA, 2004.
  • P. Blanchet, “Contacts, continuum, hétérogénéité, polynomie, organisation chaotique, pratiques sociales, interventions… quels modèles? Pour une (socio) linguistique de la complexité”, Langues, contacts, complexité. Perspectives théoriques en sociolinguistique, pp. 279-308, 2003.
  • S. Lloyd, “Measures of Complexity : a non-exhaustive list”, Department of Mechanical Engineering, Massachusetts Institute of Technology, 2001.
  • M. DeGraff, “On the origin of creoles: A Cartesian critique of Neo-Darwinian linguistics”, Linguistic Typology, vol. 5, iss. 2, p. 3, 2001.
  • W. Kusters and P. Muysken, “The complexities of arguing about complexity”, Linguistic Typology, vol. 5, iss. 2/3, pp. 182-185, 2001.
  • J. B. Plotkin and M. A. Nowak, “Language evolution and information theory”, Journal of Theoretical Biology, vol. 205, iss. 1, pp. 147-159, 2000.
  • E. Gibson, “Linguistic complexity: Locality of syntactic dependencies”, Cognition, vol. 68, iss. 1, pp. 1-76, 1998.
  • M. Gell-Mann, “What is complexity ?”, Complexity, vol. 1, iss. 1, 1995.
  • H. A. Simon, “The Architecture of Complexity”, Proceedings of the American Philosophical Society, vol. 106, iss. 6, pp. 467-482, 1962.

Text Comprehension and Readability Theory

  • S. De Knop, “German constructions with complex prepositional groups introduced by bis”, CogniTextes – Revue de l’Association française de linguistique cognitive, iss. 5, 2011.
  • U. K. E. Schäpers, Nominal versus Clausal Complexity in Spoken and Written English. Theory and description, Peter Lang, 2009.
  • Text — Verstehen, Grammatik und darüber hinaus, Walter de Gruyter, 2006.
  • Complexity in Language and Text, Merlini, L., Ed., Universita di Pisa: Edizioni Plus, 2003.
  • D. des politiques linguistiques, “Un cadre européen commun de référence pour les langues : apprendre, enseigner, évaluer,” , Strasbourg, 2000.
  • J. Karlgren, “Stylistic Experiments for Information Retrieval”, PhD Thesis, 2000.
  • D. Biber, “On the complexity of discourse complexity: A multidimensional analysis”, Discourse Processes, vol. 15, iss. 2, pp. 133-163, 1992.
  • E. B. Fry, “Writeability: the principles of writing for increased comprehension”, Readability: Its past, present, and future, pp. 77-95, 1988.
  • Linguistic Complexity and Text Comprehension: Readability Issues Reconsidered, Davidson, A. and Green, G. M., Eds., Hillsdale, NJ: Lawrence Erlbaum Associates, 1988.
  • B. B. Armbruster, “The problem of inconsiderate text”, Comprehension instruction: Perspectives and suggestions, pp. 202-217, 1984.
  • R. C. Calfee and R. Curley, “Structures of prose in the content areas”, Understanding reading comprehension, pp. 161-180, 1984.
  • S. Kemper, “Measuring the inference load of a text”, Journal of educational psychology, vol. 75, iss. 3, pp. 391-401, 1983.
  • B. K. Britton, S. M. Glynn, B. J. F. Meyer, and M. J. Penland, “Effects of text structure on use of cognitive capacity during reading”, Journal of Educational Psychology, vol. 74, iss. 1, pp. 51-61, 1982.
  • R. Bartsch, “Gibt es einen sinnvollen Begriff von linguistischer Komplexität ?”, Zeitschrift für Germanistische Linguistik, vol. 1, iss. 1, pp. 6-31, 1973.

Readability Formulas

  • F. Daoust, L. Laroche, and L. Ouellet, “Sato-Calibrage: Présentation d’un outil d’assistance au choix et à la rédaction de textes pour l’enseignement”, Revue québécoise de linguistique, vol. 25, iss. 1, pp. 205-234, 1996.
  • J. S. Chall and E. Dale, Readability Revisited: the new Dale-Chall readability formula, Cambridge, Massachusetts: Brookline Books, 1995.
  • E. Fry, “Fry’s readability graph: Clarifications, validity, and extension to level 17”, Journal of Reading, pp. 242-252, 1977.
  • G. Klare, “Assessing readability”, Reading Research Quarterly, vol. 10, pp. 62-102, 1974.
  • G. Spache, “The revised Spache readability formula”, Good reading for poor readers, 1974.
  • J. R. Bormuth, “Development of Readability Analyses”, University of Chicago, 1969.
  • E. Fry, “A readability formula that saves time”, Journal of reading, pp. 513-578, 1968.
  • W. Taylor, “Cloze procedure: A new tool for measuring readability”, Journalism Quarterly, vol. 33, pp. 42-46, 1953.
  • E. Dale and J. S. Chall, “A formula for predicting readability: Instructions”, Educational Research Bulletin, vol. 27, iss. 2, pp. 37-54, 1948.
  • R. Flesch, “A new readability yardstick”, Journal of applied psychology, vol. 32, iss. 3, pp. 221-233, 1948.

Readability Assessment

  • F. Dell’Orletta, S. Montemagni, and G. Venturi, “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, Edinburgh, Scotland, UK, 2011, pp. 73-83.
  • S. Aluisio, L. Specia, C. Gasperin, and C. Scarton, “Readability assessment for text simplification”, in Fifth Workshop on Innovative Use of NLP for Building Educational Applications, 2010, p. 1.
  • L. Feng, M. Jansche, M. Huenerfauth, and N. Elhadad, “A Comparison of Features for Automatic Readability Assessment.”, 2010, pp. 276-284.
  • A. Candido Jr, E. Maziero, C. Gasperin, T. A. S. Pardo, L. Specia, and S. M. Aluisio, “Supporting the Adaptation of Texts for Poor Literacy Readers: a Text Simplification Editor for Brazilian Portuguese”, in Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications, 2009, pp. 34-42.
  • T. François, “Modèles statistiques pour l’estimation automatique de la difficulté de textes de FLE”, in Actes TALN/RECITAL, Senlis, 2009.
  • L. Tanguy and N. Tulechki, “Sentence complexity in French: a corpus-based approach”, Intelligent information systems (IIS), pp. 1-14, 2009.
  • N. Ott, “Information Retrieval for Language Learning: An Exploration of Text Difficulty Measures”, Master’s Dissertation, Tübingen, Germany, 2009.
  • M. Bane, “Quantifying and Measuring Morphological Complexity,” 2008.
  • E. Castello, Text Complexity and Reading Comprehension Tests, Bern: Peter Lang, 2008.
  • E. Pitler and A. Nenkova, “Revisiting readability: A unified framework for predicting text quality”, in Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2008, pp. 186-195.
  • M. Heilman, K. Collins-Thompson, and M. Eskenazi, “An analysis of statistical models and features for reading difficulty prediction”, in Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications, 2008, pp. 71-79.
  • A. Zeldes, A. Lüdeling, and H. Hirschmann, “What’s Hard? Quantitative Evidence for Difficult Constructions in German Learner Data”, in Quantitative Investigations In Theoretical Linguistics (QITL3), 2008, pp. 74-78.
  • T. vor der Brück, H. Helbig, and J. Leveling, “The Readability Checker DeLite, Technical Report”, FernUniversität in Hagen, Intelligente Informations- und Kommunikationssysteme, 2008.
  • T. vor der Brück, S. Hartrumpf, and H. Helbig, “A Readability Checker with Supervised Learning using Deep Syntactic and Semantic Indicators”, in Proceedings of the 11th International Multiconference: Information Society – IS 2008 – Language Technologies, Ljubljana, Slovenia, 2008, pp. 92-97.
  • I. Glöckner, S. Hartrumpf, H. Helbig, J. Leveling, and R. Osswald, “An architecture for rating and controlling text readability”, Proceedings of KONVENS 2006, pp. 32-35, 2006.
  • M. Voss, “Determining syntactic complexity using very shallow parsing”, University of Georgia, CASPR Research Report, 2005.
  • S. E. Schwarm and M. Ostendorf, “Reading level assessment using support vector machines and statistical language models”, in Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, 2005, pp. 523-530.
  • M. Ljung, Text complexity in British and American newspapers, Rodopi, 1997.
  • C. Préfontaine and J. Lecavalier, “Analyse de l’intelligibilité de textes prescriptifs”, Revue québécoise de linguistique, vol. 25, iss. 1, pp. 99-144, 1996.

General Linguistics

  • G. Bergounioux, M. Bergounioux, N. Nguyen, and S. Wauquier, “Quel programme de recherche en mathématique et phonologie?”, Mathématiques et sciences humaines, pp. 9-26, 2007.
  • I. Léglise, “Quand les linguistes interviennent : écueils et enjeux”, Revue Française de Linguistique Appliquée, vol. 4, 2000.
  • D. D. Allerton, “Valency and Valency Grammar”, Brown, K. and Miller, J., Eds., Cambridge: Pergamon, 1996, pp. 359-368.
  • U. Eco, La ricerca della lingua perfetta, Roma-Bari: Laterza, 1993.
  • R. C. Berwick and A. S. Weinberg, The grammatical basis of linguistic performance, MIT Press, 1984.
  • J. Bresnan, The mental representation of grammatical relations, MIT Press, 1982.
  • R. de Beaugrande and W. U. Dressler, Einführung in die Textlinguistik, Tübingen: Max Niemeyer Verlag, 1981.
  • P. Corbin, “De la production de données en linguistique introspective”, Dessaux-Berthonneau, A., Ed., Presses Universitaires de Lille, 1980, pp. 121-179.
  • Universals in linguistic theory, Bach, E. and Harms, R. T., Eds., Holt, Rinehart and Winston, 1968.
  • H. B. Curry, “Some logical aspects of grammatical structure”, Jakobson, R., Ed., American Mathematical Society, 1961, pp. 56-68.
  • G. K. Zipf, The psycho-biology of language, Boston: Houghton Mifflin, 1935.

Computational Linguistics

  • D. Jurafsky, J. H. Martin, and A. Kehler, Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition, MIT Press, 2008.
  • M. Valette, “Pour une science des textes instrumentée”, Syntaxe et sémantique, vol. 9, pp. 9-14, 2008.
  • H. Lüngen, M. Bärenfänger, M. Hilbert, H. Lobin, and C. Puskas, “Text Parsing of a Complex Genre.” Bansko, Bulgaria, 2006, pp. 247-256.
  • C. D. Manning and H. Schütze, Foundations of Statistical Natural Language Processing, MIT Press, 2002.
  • B. Habert and P. Zweigenbaum, “Régler les règles”, TAL, vol. 43, iss. 3, pp. 83-105, 2002.
  • M. W. Berry, S. T. Dumais, and G. W. O’Brien, “Using Linear Algebra for Intelligent Information Retrieval”, SIAM Review, vol. 37, iss. 4, p. pp. 573-595, 1995.
  • S. Dumais, “Enhancing performance in latent semantic indexing (LSI) retrieval”, Bellcore, 1992.
  • Z. S. Harris, A theory of Language and Information: A Mathematical Approach, New York: Oxford University Press, 1991.
  • G. Salton, Automatic text processing: the transformation, analysis, and retrieval of information by computer, Addison-Wesley, 1989.
  • G. Salton, A. Wong, and C. S. Yang, “A vector space model for automatic indexing”, Communications of the ACM, vol. 18, iss. 11, pp. 613-620, 1975.

Measurement Theory

  • La mesure, instruments et philosophies, Champ Vallon, 1994.
  • B. Latour, “Les « vues » de l’esprit”, Culture technique, vol. 14, pp. 4-29, 1985.
  • G. Bachelard, Essai sur la connaissance approchée, Vrin, 1927.

Philosophy of Language

  • B. Colombat, J. Fournier, and C. Puech, Histoire des idées sur le langage et les langues, Paris: Klincksieck, 2010.
  • B. Habert, “Portrait de linguiste(s) à l’instrument”, Texto!, vol. 10, iss. 4, 2005.
  • Figures du texte scientifique, PUF, 2003.
  • S. Auroux, La raison, le langage et les normes, Paris: Presses Universitaires de France, 1998.
  • S. Auroux, La révolution technologique de la grammatisation, Liège: Mardaga, 1994.
  • S. Krämer, “Symbolische Erkenntnis bei Leibniz”, Zeitschrift für philosophische Forschung, vol. 46, iss. 2, pp. 224-237, 1992.
  • H. H. Knecht, La logique chez Leibniz, Essai sur le rationalisme baroque, Lausanne: L’âge d’homme, 1981.
  • A. Heinekamp, “Sprache und Wirklichkeit bei Leibniz.” Berlin, New York: W. de Gruyter, 1976, pp. 518-570.
  • P. Otlet, Traité de Documentation. Le Livre sur le Livre. Théorie et Pratique, Editiones Mundaneum, 1934.

Philosophy of Technology

  • J. Vioulac, L’époque de la technique, PUF, 2009.
  • G. Ropohl, Allgemeine Technologie. Eine Systemtheorie der Technik, 3 ed., Karlsruhe: Universitätsverlag Karlsruhe, 2009.
  • B. Bensaude-Vincent, Les vertiges de la technoscience, Paris: La Découverte, 2009.
  • M. Faucheux, Norbert Wiener, Le Golem et la Cybernétique, Editions du Sandre, 2008.
  • G. Agamben, Qu’est-ce qu’un dispositif ?, Rivages poche, 2007.
  • D. Ihde, “Philosophy of Technology”, Philosophical Problems Today, vol. 3, pp. 91-108, 2005.
  • G. Hottois, Philosophies des sciences, philosophies des techniques, Paris: Odile Jacob, 2004.
  • L. Ellrich, “Die Computertechnik als Gegenstand philosophischer Reflexion”, Sandbothe, M. and Nagl, L., Eds., Berlin: Akademie-Verlag, 2003.
  • Les philosophes et la technique, Hottois, G. and Chabot, P., Eds., Paris: Vrin, 2003.
  • H. Blumenberg, “Lebenswelt und Technisierung unter Aspekten der Phänomenologie.” Stuttgart: Reclam, 1996.
  • S. Krämer, “Symbolische Erkenntnis bei Leibniz”, Zeitschrift für philosophische Forschung, vol. 46, iss. 2, pp. 224-237, 1992.
  • S. Krämer, Berechenbare Vernuft: Kalkül und Rationalismus im 17. Jahrhundert, Berlin, New York: W. de Gruyter, 1991.
  • J. Goffi, La philosophie de la technique, Presses Universitaires de France, 1988.
  • M. Henry, “Descartes et la question de la technique”, Grimaldi, N. and Marion, J., Eds., PUF, 1987.
  • A. Haudricourt, La technologie, science humaine, Paris: Fondation des sciences de l’homme, 1987.
  • G. Hottois, Le signe et la technique : la philosophie à l’épreuve de la technique, Paris: Aubier, 1984.
  • H. H. Knecht, La logique chez Leibniz, Essai sur le rationalisme baroque, Lausanne: L’âge d’homme, 1981.
  • G. Simondon, Du mode d’existence des objets techniques, Aubier-Montaigne, 1969.
  • A. Leroi-Gourhan, Le geste et la parole t.1 Technique et langage, Albin Michel, 1964.

Miscellaneous Tools

  • D. Grune and C. J. H. Jacobs, Parsing techniques: a practical guide, New York: Springer-Verlag, 2008.
  • R. H. Baayen, Analyzing linguistic data: A practical introduction to statistics using R, Cambridge University Press, 2008.
  • S. T. Gries, Statistik für Sprachwissenschaftler, Göttingen: Vandenhoeck \& Ruprecht, 2008.
  • L. Tanguy and N. Hathout, Perl pour les linguistes, Lavoisier, 2007.
  • B. Habert, Instruments et ressources électroniques pour le français, Ophrys, 2005.
  • A. Descartes and T. Bunce, Programming the Perl DBI, O’Reilly, 2000.
  • W. Skut, Partial Parsing for Corpus Annotation and Text Procesing, Saarbrücken: Deutsches Forschungszentrum für künstliche Intelligenz, 1999.
  • S. Abney, “Partial parsing via finite-state cascades”, Natural Language Engineering, vol. 2, iss. 4, pp. 337-344, 1996.
  • W. Menzel, “Robust processing of natural language”, Lecture Notes in Computer Science, vol. 981, pp. 19-34, 1995.

Tagging and Marking

  • E. Giesbrecht and S. Evert, “Part-of-Speech (POS) Tagging – a solved task ? An Evaluation of POS Taggers for the German Web as Corpus”, in Proceedings of the Fifth Web as Corpus Workshop (WAC5), San Sebastian, 2009, pp. 27-35.
  • T. Bray, J. Paoli, C. M. Sperberg-McQueen, E. Maler, and F. Yergeau, “Extensible markup language (XML) 1.0 (Fifth Edition)”, W3C2008.
  • G. Rehm, O. Schonefeld, A. Witt, T. Lehmberg, C. Chiarcos, H. Bechara, F. Eishold, K. Evang, M. Leshtanska, A. Savkov, and others, “The Metadata-Database of a Next Generation Sustainability Web-Platform for Language Resources”, in Proceedings of the 6th Language Resources and Evaluation Conference (LREC 2008), 2008, pp. 371-378.
  • H. Schmid and F. Laws, “Estimation of conditional probabilities with decision trees and an application to fine-grained POS tagging”, in Proceedings of the 22nd International Conference on Computational Linguistics, 2008, pp. 777-784.
  • Automatische Textanalyse: Systeme und Methoden zur Annotation und Analyse natürlichsprachlicher Texte, Mehler, A. and Lobin, H., Eds., Wiesbaden: Verlag für Sozialwissenschaften, 2004.
  • K. Toutanova, D. Klein, C. Manning, and Y. Singer, “Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network”, in Proceedings of HLT-NAACL, 2003, pp. 252-259.
  • J. Carletta, D. McKelvie, and A. Isard, Supporting Linguistic annotation using XML and stylesheets, University of Edinburgh, 2002.
  • A. Witt, “Multiple Informationsstrukturierung mit Auszeichnungssprachen, XML basierte Methoden und deren Nutzen für die Sprachtechnologie”, PhD Thesis , 2002.
  • H. Schmid, “Improvements in Part-Of-Speech Tagging with an Application to German”, Natural Language Processing Using Very Large Corpora, vol. 11, pp. 13-26, 1999.
  • A. Schiller, S. Teufel, C. Stöckert, and C. Thielen, “Vorläufige Guidelines für das Tagging deutscher Textcorpora mit STTS,” Universität Stuttgart, Institut für maschinelle Sprachverarbeitung/Universität Tübingen, Seminar für Sprachwissenschaft, Draft, 1995.
  • H. Schmid, “Probabilistic Part-Of-Speech Tagging Using Decision Trees”, in Proceedings of the International Conference on New Methods in Language Processing, 1994.