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Ahmed, S., Haigh, A. M., Jager de, C. A., and Garrard, P. (2013). Connected speech as a marker of disease progression in autopsy-proven Alzheimer’s disease. Brain: a journal of neurology, 136(12), pages 3727–3737. Search in Google Scholar

Baese-Berk, M. M., Drake, S., Foster, K., Lee, D., Staggs, C., and Wright, J. M. (2021). Lexical Diversity, Lexical Sophistication, and Predictability for Speech in Multiple Listening Conditions. Front. Psychol. Vol. 12. Accesibble at: https://doi.org/10.3389/fpsyg.2021.661415. Search in Google Scholar

Buckner, R. L. (2004). Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron, 44, pages 195–208. Search in Google Scholar

Bucks, R. S., Singh, S., Cuerden, J. M., and Wilcock, G. K. (2000). Analysis of spontaneous, conversational speech in dementia of Alzheimer type: Evaluation of an objective technique for analysing lexical performance. Aphasiology, 14(1), pages 71–91. Search in Google Scholar

Covington, M. A., and McFall, J. D. (2010). Cutting the Gordian Knot: The Moving-Average Type–Token Ratio (MATTR). Journal of Quantitative Linguistics, 17, pages 94–100. Search in Google Scholar

Cumming, A., Kantor, R., Baba, K., Eouanzoui, K., Erdosy, U., and Jamse, M. (2005). Analysis of discourse features and verification of scoring levels for independent and integrated prototype written tasks for the new TOEFL®. ETS Res. Rep. Ser. 2005, pages 1–77. Search in Google Scholar

Durán, P., Malvern, D., Richards, B., and Chipere, N. (2004). Developmental trends in lexical diversity. Applied Linguistics, 25(2), pages 220–242. Search in Google Scholar

Fergadiotis, G., Wright, H. H., and Green, S. B. (2015). Psychometric evaluation of lexical diversity indices: Assessing length effects. Journal of Speech, Language, and Hearing Research, 58(3), pages 1–13. Search in Google Scholar

Ferris, S., and Farlow, M. (2013). Language impairment in Alzheimer’s disease and benefits of acetylcholinesterase inhibitors. Clin. Interv. Aging 8, pages 1007–1014. Search in Google Scholar

Fraser, K. C., Meltzer, J. A., and Rudzicz, F. (2016). Linguistic Features Identify Alzheimer’s Disease in Narrative Speech. Journal of Alzheimer’s Disease, 49(2), pages 407–422. Search in Google Scholar

Garrard, P., Maloney, L. M., Hodges, J. R., and Patterson, K. (2005). The effects of very early Alzheimer’s disease on the characteristics of writing by a renowned author. Brain 128, pages 250–260. Search in Google Scholar

Hardie, A., and McEnery, T. (2006). Statistics. In K. Brown (ed.).: Encyclopedia of Language and Linguistics, 2nd edition. Amsterdam: Elsevier, pages 138–146. Search in Google Scholar

Jarrold, W., Peintner, B., Wilkins D., Vergryi D., Richey, C., Gorno-Tempini, M. L., and Ogar, J. (2014). Aided diagnosis of dementia type through computer-based analysis of spontaneous speech. In Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, pages 27–37. Baltimore, Maryland, USA. Association for Computational Linguistics. Search in Google Scholar

Kavé, G., and Dassa, A. (2018). Severity of Alzheimer’s disease and language features in picture descriptions. Aphasiology, 32(1), pages 27–40. Search in Google Scholar

Johnson, W. (1944). Studies in language behavior: a program of research. Psychol. Monogr., 56, pages 1–15. Search in Google Scholar

Kavé, G., and Goral, M. (2016). Word retrieval in picture descriptions produced by individuals with Alzheimer’s disease. Journal of Clinical and Experimental Neuropsychology, 38(9), pages 958–966. Search in Google Scholar

Klimova, B., Maresova, P., Valis, M., Hort, J., and Kuca, K. (2015). Alzheimer’s disease and language impairments: social intervention and medical treatment. Clin. Interv. Aging, 10, pages 1401–1407. Search in Google Scholar

Lindsay, H., Tröger, J., and König, A. (2021). Language Impairment in Alzheimer’s Disease–Robust and Explainable Evidence for AD-Related Deterioration of Spontaneous Speech Through Multilingual Machine Learning. Front. Aging Neurosci. 13. Accesibble at: https://doi.org/10.3389/fnagi.2021.642033. Search in Google Scholar

Mueller, K. D., Hermann, B., Mecollari, J., and Turkstra, L. S. (2018). Connected speech and language in mild cognitive impairment and Alzheimer’s disease: A review of picture description tasks. J. Clin. Exp. Neuropsychol., 40(9), pages 917–939. Search in Google Scholar

Szatloczki, G., Hoffmann, I., Vincze, V., Kalman, J., and Pakaski, M. (2015). Speaking in Alzheimer’s disease, is that an early sign? Importance of changes in language abilities in Alzheimer’s disease. Front. Aging Neurosci., 20(7). Accessible at: https://doi.org/10.3389/fnagi.2015.00195. Search in Google Scholar

Templin, M. C. (1957). Certain Language Skills in Children; Their Development and Interrelationships. Minneapolis, MN. University of Minnesota Press. Search in Google Scholar

Velzen van, M., and Garrard, P. (2008). From hindsight to insight – retrospective analysis of language written by a renowned Alzheimer’s patient. Interdiscipl. Sci. Rev., 33, pages 278–286. Search in Google Scholar

Yu, G. (2010). Lexical diversity in writing and speaking task performances. Appl. Linguist., 31, pages 236–259. Search in Google Scholar

Zareva, A., Schwanenflugel, P., and Nikolova, Y. (2005). Relationship between lexical competence and language proficiency: variable sensitivity. Stud. Second Lang. Acquisit., 27, pages 567–595. Search in Google Scholar

eISSN:
1338-4287
Lingua:
Inglese
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2 volte all'anno
Argomenti della rivista:
Linguistics and Semiotics, Theoretical Frameworks and Disciplines, Linguistics, other