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Wannagat, Wienke; Waizenegger, Gesine; Hauf, Juliane; Nieding, Gerhild – Discourse Processes: A multidisciplinary journal, 2018
This study investigated the effects of auditory and audiovisual text presentation on the three levels of mental representations assumed in theories of discourse processing. A sample of 106 children aged 7, 9, and 11 years listened to 16 short narrative texts, 8 of which were accompanied by a series of pictures illustrating the content.…
Descriptors: Language Processing, Discourse Analysis, Memory, Models
Sabet, Masoud Khalili; Kazempouri, Maryam – Advances in Language and Literary Studies, 2015
Reviewing literature reveals that identifying generic structure of research articles (RAs) in different fields of study, especially ESP, has received much attention. The major purpose behind such trends of research has been raising researchers' awareness of the common conventions in writing RAs. Along with this universal trend, a lot of genre…
Descriptors: English for Special Purposes, Periodicals, Text Structure, Metalinguistics
Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai; McNamara, Danielle S.; Kyle, Kristopher – Discourse Processes: A multidisciplinary journal, 2017
Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…
Descriptors: Reading Processes, Reading Comprehension, Readability, Adults

Li, Hang; Yamanishi, Kenji – Information Processing & Management, 2003
Presents a single framework for conducting topic analysis that performs both topic identification and text segmentation. Key characteristics of the framework are: representing a topic by means of a cluster of words closely related to the topic; and employing a stochastic model, called a finite mixture model, to represent a word distribution within…
Descriptors: Content Analysis, Electronic Text, Information Processing, Information Retrieval

Malone, Linda C.; And Others – Information Processing and Management, 1991
Presents a statistical model for predicting the performance of an automated keywording system on each document it keywords. Methods of text analysis are described, including statistical methods, discriminant analysis, linguistic approaches, and artificial intelligence; performance measures are discussed; and regression models are explained. (16…
Descriptors: Artificial Intelligence, Automatic Indexing, Computational Linguistics, Discriminant Analysis