E. Arnold, Le sens des mots chez tony blair (people et europe), pp.109-119, 2008.

P. Ball, Computer conference welcomes gobbledegook paper, Nature, vol.434, issue.7036, p.946, 2005.
DOI : 10.1038/nature03653

J. P. Balpe, Fiction et écriture générative, pp.37-48, 2008.

G. Barbieri, F. Pachet, P. Roy, and M. D. Esposti, Markov constraints for generating lyrics with style, In: ECAI, vol.242, pp.115-120, 2012.

J. Baughn, URL http://nonsense.sourceforge.net. [Online; accessed 11, 2001.

N. Chomsky, Three models for the description of language, IEEE Transactions on Information Theory, vol.2, issue.3, pp.113-124, 1956.
DOI : 10.1109/TIT.1956.1056813

M. M. Dalkilic, W. T. Clark, J. C. Costello, and P. Radivojac, Using Compression to Identify Classes of Inauthentic Texts, Proceedings of the 2006 SIAM Conference on Data Mining, 2006.
DOI : 10.1137/1.9781611972764.69

C. Doug, P. Jan, and S. Penelope, A practical part-of-speech tagger, ANLC '92 Proceedings of the third conference on Applied Natural Language, pp.133-140, 1992.

E. Elmacioglu and D. Lee, Oracle, where shall I submit my papers?, Communications of the ACM, vol.52, issue.2, pp.115-118, 2009.
DOI : 10.1145/1461928.1461958

U. Fahrenberg, F. Biondi, K. Corre, C. Jégourel, S. Kongshøj et al., Measuring structural distances between texts, p.4024, 2014.

I. Feinerer, K. Hornik, and D. Meyer, Text mining infrastructure in r, Journal of Statistical Software, vol.25, issue.5, pp.1-54, 2008.

A. Gatt and F. Portet, Textual properties and task-based evaluation: Investigating the role of surface properties, structure and content, 6th International Conference on Natural Language Generation (INLG-10), 2010.
URL : https://hal.archives-ouvertes.fr/hal-00959184

P. Ginsparg, Automated screening: ArXiv screens spot fake papers, Nature, vol.16, issue.7494, pp.44-44, 2014.
DOI : 10.1038/508044a

M. A. Halliday and J. Webster, Computational and quantitative studies, Continuum New, 2004.

J. E. Hirsch, An index to quantify an individual's scientific research output, Proceedings of the National Academy of Sciences, vol.102, issue.46, pp.569-16572, 2005.
DOI : 10.1073/pnas.0507655102

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1283832

P. Hubert and D. Labbé, Vocabulary richness In: Communication au congrès de l'ALLC-ACH. Paris: La Sorbonne, 1994.

C. Labbé, Ike antkare, one of the great stars in the scientific firmament, International Society for Scientometrics and Informetrics Newsletter, vol.6, issue.2, pp.48-52, 2010.

C. Labbé and D. Labbé, How to Measure the Meanings of Words? Amour in Corneille???s Work, Language Resources and Evaluation, vol.14, issue.11, pp.335-351, 2005.
DOI : 10.1007/s10579-006-9002-8

C. Labbé and D. Labbé, Duplicate and fake publications in the scientific literature: how many SCIgen papers in computer science?, Scientometrics, vol.50, issue.11, pp.379-396, 2013.
DOI : 10.1007/s11192-012-0781-y

C. Labbé and D. Labbé, Was shakespeare's vocabulary the richest?, Proceedings of the 12th International Conference on Textual Data Statistical Analysis, pp.323-336, 2014.

C. Labbé and F. Portet, Towards an abstractive opinion summarisation of multiple reviews in the tourism domain The 1st International Workshop on Sentiment Discovery from Affective Data, SDAD 2012, pp.87-94, 2012.

D. Labbé, Experiments on authorship attribution by intertextual distance in english*, Journal of Quantitative Linguistics, vol.2, issue.1, pp.33-80, 2007.
DOI : 10.1093/llc/18.4.379

A. Lavoie and M. Krishnamoorthy, Algorithmic Detection of Computer Generated Text, 2010.

C. Y. Lin, Rouge: A package for automatic evaluation of summaries, Text Summarization Branches Out: Proceedings of the ACL-04 Workshop, pp.74-81, 2004.

C. Y. Lin and E. Hovy, Automatic evaluation of summaries using N-gram co-occurrence statistics, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology , NAACL '03, pp.71-78, 2003.
DOI : 10.3115/1073445.1073465

C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval, 2008.
DOI : 10.1017/CBO9780511809071

R. Manurung, G. Ritchie, H. Pain, A. Waller, D. O-'mara et al., THE CONSTRUCTION OF A PUN GENERATOR FOR LANGUAGE SKILLS DEVELOPMENT, Applied Artificial Intelligence, vol.17, issue.9, pp.841-869, 2008.
DOI : 10.1097/00011363-200607000-00006

D. Monière, C. Labbé, and D. Labbé, Les styles discursifs des premiers ministres québécois de jean lesage à jean charest. Revue canadienne de science politique, Automatic sbir proposal generator, pp.43-69, 2008.

E. Nathaniel, URL http://thatsmathematics.com/mathgen/. [Online; accessed 11, 2012.

R. V. Noorden, Publishers withdraw more than 120 gibberish papers, Nature, 2014.
DOI : 10.1038/nature.2014.14763

D. L. Parnas, Stop the numbers game, Communications of the ACM, vol.50, issue.11, pp.19-21, 2007.
DOI : 10.1145/1297797.1297815

F. Portet, E. Reiter, A. Gatt, J. Hunter, S. Sripada et al., Automatic generation of textual summaries from neonatal intensive care data, Artificial Intelligence, vol.173, pp.7-8, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00953707

E. Reiter and A. Belz, An Investigation into the Validity of Some Metrics for Automatically Evaluating Natural Language Generation Systems, Computational Linguistics, vol.18, issue.1, pp.529-558, 2009.
DOI : 10.1016/S0004-3702(99)00082-X

E. Reiter and R. Dale, Building Natural Language Generation Systems, Studies in Natural Language Processing, 2000.
DOI : 10.1017/CBO9780511519857

P. Sneath and R. Sokal, Numerical Taxonomy, p.Freeman, 1973.
DOI : 10.1002/9781118960608.bm00018

J. Stribling, M. Krohn, and D. Aguayo, URL http://pdos.csail.mit, Scigen, 2005.

M. Stubbs, Texts and corpus analysis Oxford: Blackwell (1996) 42. unknown: (2014) URL https://bitbucket.org/birkenfeld/scigen-physics. [Online; accessed 11, 2014.