1. Khalilov, M., Fonollosa, J.A.R.: N-gram-based Statistical Machine Translation versus Syntax Augmented Machine Translation: comparison and system combination. In: Proceedings of the 12th Conference of the European Chapter of the ACL, pp. 424–432 (2009)

   Google Scholar 

2. Habash, N.: The Use of a Structural N-gram Language Model in Generation-Heavy Hybrid Machine Translation. In: Belz, A., Evans, R., Piwek, P. (eds.) INLG 2004. LNCS (LNAI), vol. 3123, pp. 61–69. Springer, Heidelberg (2004)

   Chapter  Google Scholar 

3. Agarwal, A., Biads, F., Mckeown, K.R.: Contextual Phrase-Level Polarity Analysis using Lexical Affect Scoring and Syntactic N-grams. In: Proceedings of the 12th Conference of the European Chapter of the ACL (EACL), pp. 24–32 (2009)

   Google Scholar 

4. García-Hernández, R.A., Martínez Trinidad, J.F., Carrasco-Ochoa, J.A.: Finding Maximal Sequential Patterns in Text Document Collections and Single Documents. Informatica 34(1), 93–101 (2010)

   MATH  Google Scholar 

5. Baayen, H., Tweedie, F., Halteren, H.: Outside The Cave of Shadows: Using Syntactic Annotation to Enhance Authorship Attribution. Literary and Linguistic Computing, 121–131 (1996)

   Google Scholar 

6. Stamatatos, E.: A survey of modern authorship attribution methods. Journal of the American Society for information Science and Technology 60(3), 538–556 (2009)

   Article  Google Scholar 

7. Holmes, D.I.: The evolution of stylometry in humanities scholarship. Literary and Linguistic Computing 13(3), 111–117 (1998)

   Article  Google Scholar 

8. Juola, P.: Authorship Attribution. Foundations and Trends in Information Retrieval 1(3), 233–334 (2006)

   Article  Google Scholar 

9. Juola, P.: Ad-hoc authorship attribution competition. In: Proceedings of the Joint Conference of the Association for Computers and the Humanities and the Association for Literary and Linguistic Computing, pp. 175–176 (2004)

   Google Scholar 

10. Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1) (2002)

    Google Scholar 

11. Abbasi, A., Chen, H.: Applying authorship analysis to extremist-group web forum messages. IEEE Intelligent Systems 20(5), 67–75 (2005)

    Article  Google Scholar 

12. van Halteren, H.: Author verification by linguistic profiling: An exploration of the parameter space. ACM Transactions on Speech and Language Processing 4(1), 1–17 (2007)

    Article  Google Scholar 

13. Grieve, J.: Quantitative authorship attribution: An evaluation of techniques. Literary and Linguistic Computing 22(3), 251–270 (2007)

    Article  Google Scholar 

14. Luyckx, K.: Scalability Issues in Authorship Attribution. Ph.D. Thesis, University of Antwerp (2010)

    Google Scholar 

15. Argamon, S., Juola, P.: Overview of the international authorship identification competition at PAN-2011. In: 5th Int. Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (2011)

    Google Scholar 

16. Diederich, J., Kindermann, J., et al.: Authorship attribution with support vector machines. Applied Intelligence 19(1), 109–123 (2003)

    Article MATH  Google Scholar 

17. Escalante, H., Solorio, T., et al.: Local histograms of character n-grams for authorship attribution. In: 49th Annual Meeting of the Association for Computational Linguistics, pp. 288–298 (2011)

    Google Scholar 

18. Keselj, V., Peng, F., et al.: N-gram-based author profiles for authorship attribution. Computational Linguistics 3, 225–264 (2003)

    Google Scholar 

19. Koppel, M., Schler, J., et al.: Authorship attribution in the wild. Language Resources and Evaluation 45(1), 83–94 (2011)

    Article  Google Scholar 

20. Koppel, M., Schler, J., et al.: Measuring differentiability: unmasking pseudonymous authors. Journal of Machine Learning Research, 1261–1276 (2007)

    Google Scholar 

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