Chapter published in:
Polylogues on The Mental Lexicon: An exploration of fundamental issues and directions
Edited by Gary Libben, Gonia Jarema and Victor Kuperman
[Not in series 238] 2021
► pp. 215
References

References

Aitchison, J.
(2012) Words in the Mind: An Introduction to the Mental Lexicon. 4th edition, Oxford: Wiley-Blackwell.Google Scholar
Blei, D. M.
(2012) Probabilistic topic models. Communications of the ACM, 55(4), 77–84. CrossrefGoogle Scholar
Blei, D. M., & Lafferty, J. D.
(2007) A correlated topic model of science. The Annals of Applied Statistics, 1(1), 17–35. CrossrefGoogle Scholar
Blei, D. M., Ng, A. Y., & Jordan, M. I.
(2003) Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.Google Scholar
Cohen-Priva, U., & Austerweil, J. L.
(2015) Analyzing the history of Cognition using topic models. Cognition, 135, 4–9. CrossrefGoogle Scholar
Crespi, G. A., & Geuna, A.
(2008) An empirical study of scientific production: A cross country analysis, 1981–2002. Research Policy, 37(4), 565–579. CrossrefGoogle Scholar
De Beaugrande, R. A., & Dressler, W. U.
(1981) Introduction to text linguistics (Vol. 1). London: Longman. CrossrefGoogle Scholar
Firth, J. R.
(1957) A synopsis of linguistic theory, 1930–1955. Studies in linguistic analysis.Google Scholar
Griffiths, T. L., Steyvers, M., & Tenenbaum, J. B.
(2007) Topics in Semantic Representation. Psychological Review, 114(2), 211–244. CrossrefGoogle Scholar
Hall, D., Jurafsky, D. & Manning, C. D.
(2008) Studying the history of ideas using topic models. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 363–371). Association for Computational Linguistics. CrossrefGoogle Scholar
Jarema, G. & Libben, G.
(2007) Matters of Definitions. In G. Jarema & G. Libben (Eds.) Core Perspectives on the Mental Lexicon. Oxford: Elsevier, pp. 1–12). CrossrefGoogle Scholar
Kerbrat-Orecchioni, C.
(2004) Introducing polylogue. Journal of Pragmatics 36(1), 1–24. CrossrefGoogle Scholar
Kristeva, J.
(1980) Desire in language: A semiotic approach to literature and art. Columbia University Press.Google Scholar
Levelt, W. J. M.
(2013) A history of psycholinguistics: The pre-Chomskyan era. Oxford: Oxford University PressGoogle Scholar
Libben, G.
(2020) What can we learn from novel compounds? In S. Schulte im Walde & E. Smolka, (Eds.) The role of constituents in multi-word expressions: An interdisciplinary, cross-lingual perspective. Berlin: Language Science Press (pp. 107–128).Google Scholar
R Core Team
(2017) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://​www​.R​-project​.org/
Roberts, M. E., Stewart, B. M., Tingley, D., Lucas, C., Leder-Luis, J., Gadarian, S. K., … & Rand, D. G.
(2014) Structural topic models for open-ended survey responses. American Journal of Political Science, 58(4), 1064–1082. CrossrefGoogle Scholar
Rosen-Zvi, M., Griffiths, T., Steyvers, M., & Smyth, P.
(2004, July). The author-topic model for authors and documents. In Proceedings of the 20th conference on Uncertainty in artificial intelligence (pp. 487–494). AUAI Press.Google Scholar
Taitz, E., Sondra Henry, S., & Tallan, C.
(2003) The JPS Guide to Jewish Women: 600 B.C.E.to 1900 C.E. Philadelphia: The Jewish Publication Society.Google Scholar
Wei, W. W.
(2006) Time series analysis. In The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2.Google Scholar