Masterarbeit, 2022
66 Seiten, Note: 1,3
1 Introduction
1.1 Organization of the text
2 Theory
2.1 Key terms lexica
2.1.1 Mental lexicon
2.1.2 Visual word recognition: interactive models
2.1.3 Inflectional morphology
2.2 Review of related research and literature
2.3 Research hypothesis
3 Methods
3.1 Priming
3.1.1 Masked priming
3.1.2 Lexical decision task
3.2 Methodological and procedural specifications
3.3 Participants
3.4 Experimental design
3.4.1 Procedure and apparatus
3.5 Stimuli
4 Results
5 Discussion
5.1 Findings in the context of the masked priming paradigm
5.2 Single-route or dual-route mechanism?
5.3 Limitation of the present study
6 Conclusion
7 References
8 Appendix
This thesis investigates how morphological and form-related masked primes influence the psycholinguistic processing of the English past tense in native speakers. By utilizing a lexical decision task, the study aims to determine whether regular past tense verb recognition supports a connectionist, single-route approach or indicates the necessity of a rule-based, dual-route mechanism within the mental lexicon.
1 Introduction
A central aspect of language is its processing and organization of the information in the language users’ minds. Human language consists of many unique features. As the primary communication system, language is a system for linking signals with meanings. The system is an underlying set of principles and rules that have been examined over a long period of time. Different linguistic areas of language have brought insights into the language system and the structural organization of words and sentences.
Especially the processing and the mental representation of words have been in the focus of psycholinguistic, morphological, and psychological research. Studies in the psycholinguistic field have stressed the importance of rules unfolding aspects of language. For example, one of the most discussed issues in cognitive science is the English past tense. This is due to the rule-like regular past tense forms and the somewhat idiosyncratic irregular past tense forms. Over decades now, researchers have been investigating how exactly the past tense is processed and stored in the mental lexicon. The debate started when Rumelhart and McClelland (1986) challenged the assumption that people can use the mental rules of grammar to form the regular past tense. Rumelhart and McClelland (1986) proposed an associative linked computational language processing model that works with a single route. Following up, the other debate camp argues for an abstract rule forming the regular past tense and whole-word representations for irregular verbs.
1 Introduction: Provides a rationale for studying English past tense processing and outlines the structural organization of the thesis.
2 Theory: Defines foundational concepts like the mental lexicon and interactive models of word recognition, and reviews literature on the past tense debate.
3 Methods: Details the experimental framework, specifically the masked priming procedure, participant demographics, and the selection of experimental stimuli.
4 Results: Presents the statistical analysis of reaction times and correctness rates derived from the lexical decision task.
5 Discussion: Interprets the experimental findings in relation to existing psycholinguistic models and addresses the limitations of the study.
6 Conclusion: Summarizes the key insights gained regarding morphological decomposition and the dual-route approach to past tense processing.
Psycholinguistics, Mental Lexicon, Past Tense, Masked Priming, Morphological Decomposition, Visual Word Recognition, Lexical Decision Task, Interactive-Activation Model, Dual-Route Mechanism, Regular Inflection, Irregular Verbs, Cognitive Science, Orthographic Representation, Word Frequency, Spreading Activation
This research focuses on how native speakers of English process and store regular and irregular past tense forms in their mental lexicon, specifically testing different theoretical models of word recognition.
The core themes include psycholinguistic theories of the mental lexicon, the debate between single-mechanism and dual-mechanism accounts of morphology, and the experimental methodology of masked priming.
The primary goal is to provide new experimental evidence to the ongoing debate regarding whether past tense forms are processed via abstract grammatical rules or associative memory networks.
The study utilizes a masked priming paradigm integrated with a lexical decision task to measure how different prime types (regular, irregular, nonword, existing word) influence the recognition speed of target words.
The main sections discuss theoretical underpinnings (mental lexicon models), literature reviews on priming research, experimental design specifications, and a detailed quantitative analysis of participant reaction times.
Key terms include psycholinguistics, mental lexicon, masked priming, morphological decomposition, and dual-route mechanism.
The data suggests that irregular primes do not facilitate the recognition of regular past tense targets, indicating that irregular forms are processed as whole-word representations that do not share the same lexical access route as regular formations.
The error analysis showed that participants made fewer errors when target words followed morphologically related primes compared to purely form-related primes, highlighting a distinct behavioral benefit to morphological relatedness.
Der GRIN Verlag hat sich seit 1998 auf die Veröffentlichung akademischer eBooks und Bücher spezialisiert. Der GRIN Verlag steht damit als erstes Unternehmen für User Generated Quality Content. Die Verlagsseiten GRIN.com, Hausarbeiten.de und Diplomarbeiten24 bieten für Hochschullehrer, Absolventen und Studenten die ideale Plattform, wissenschaftliche Texte wie Hausarbeiten, Referate, Bachelorarbeiten, Masterarbeiten, Diplomarbeiten, Dissertationen und wissenschaftliche Aufsätze einem breiten Publikum zu präsentieren.
Kostenfreie Veröffentlichung: Hausarbeit, Bachelorarbeit, Diplomarbeit, Dissertation, Masterarbeit, Interpretation oder Referat jetzt veröffentlichen!

