DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4
Hits 1 – 20 of 68

1
Structural Priming and the Mental Representation of Agentive and Temporal by-Phrase Constructions: An Eye-Tracking Study
BASE
Show details
2
Structural Priming and the Mental Representation of Agentive and Temporal by-Phrase Constructions: An Eye-Tracking Study ...
Fusella, Paul Vincent. - : Columbia University, 2021
BASE
Show details
3
The Psycho-logic of Universal Quantifiers ...
Knowlton, Tyler Zarus. - : Digital Repository at the University of Maryland, 2021
BASE
Show details
4
The Psycho-logic of Universal Quantifiers
BASE
Show details
5
CROSS-LINGUISTIC DIFFERENCES IN THE LEARNING OF INFLECTIONAL MORPHOLOGY: EFFECTS OF TARGET LANGUAGE PARADIGM COMPLEXITY ...
Solovyeva, Ekaterina. - : Digital Repository at the University of Maryland, 2020
BASE
Show details
6
CROSS-LINGUISTIC DIFFERENCES IN THE LEARNING OF INFLECTIONAL MORPHOLOGY: EFFECTS OF TARGET LANGUAGE PARADIGM COMPLEXITY
BASE
Show details
7
Issues in L2 phonological processing ; Questions sur le traitement phonologique en langue seconde
Melnik, Gerda Ana. - : HAL CCSD, 2019
In: https://tel.archives-ouvertes.fr/tel-02304656 ; Linguistics. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE007⟩ (2019)
BASE
Show details
8
Acquisition d'une langue visuo-spatiale et plurilinguisme audio-oral : le cas de l'American Sign Language (ASL) en tant que L2 selon la perception d'apprenants en milieu universitaire
BASE
Show details
9
Representing linguistic knowledge with probabilistic models
Meylan, Stephan Charles. - : eScholarship, University of California, 2018
In: Meylan, Stephan Charles. (2018). Representing linguistic knowledge with probabilistic models. UC Berkeley: Psychology. Retrieved from: http://www.escholarship.org/uc/item/5vp920sn (2018)
Abstract: The use of language is one of the defining features of human cognition. Focusing here on two key features of language, productivity and robustness, I examine how basic questions regarding linguistic representation can be approached with the help of probabilistic generative language models, or PGLMs. These statistical models, which capture aspects of linguistic structure in terms of distributions over events, can serve as both the product of language learning and as prior knowledge in real-time language processing. In the first two chapters, I show how PGLMs can be used to make inferences about the nature of people's linguistic representations. In Chapter 1, I look at the representations of language learners, tracing the earliest evidence for a noun category in large developmental corpora. In Chapter 2, I evaluate broad-coverage language models reflecting contrasting assumptions about the information sources and abstractions used for in-context spoken word recognition in their ability to capture people's behavior in a large online game of “Telephone.” In Chapter 3, I show how these models can be used to examine the properties of lexicons. I use a measure derived from a probabilistic generative model of word structure to provide a novel interpretation of a longstanding linguistic universal, motivating it in terms of cognitive pressures that arise from communication. I conclude by considering the prospects for a unified, expectations-oriented account of language processing and first language learning.
Keyword: Bayesian inference; Cognitive psychology; Computer science; information theory; language acquisition; language models; Linguistics; probabilistic generative models; psycholinguistics
URL: http://www.escholarship.org/uc/item/5vp920sn
BASE
Hide details
10
Toward a Psycholinguistic Model of Irony Comprehension ...
Adler, Rachel Michelle. - : Digital Repository at the University of Maryland, 2018
BASE
Show details
11
Relating lexical and syntactic processes in language: Bridging research in humans and machines ...
Ettinger, Allyson. - : Digital Repository at the University of Maryland, 2018
BASE
Show details
12
Toward a Psycholinguistic Model of Irony Comprehension
BASE
Show details
13
Relating lexical and syntactic processes in language: Bridging research in humans and machines
BASE
Show details
14
An Exploration of the Relationship Between Event Meaning and Syntactic Structure
Gruberg, Nicholas. - : eScholarship, University of California, 2017
In: Gruberg, Nicholas. (2017). An Exploration of the Relationship Between Event Meaning and Syntactic Structure. UC San Diego: Psychology. Retrieved from: http://www.escholarship.org/uc/item/9s09j34r (2017)
BASE
Show details
15
Language Science Meets Cognitive Science: Categorization and Adaptation ...
Heffner, Christopher Cullen. - : Digital Repository at the University of Maryland, 2017
BASE
Show details
16
Schema-guided comprehension of noun-noun compounds: An experimental and corpus-based approach
BASE
Show details
17
Measuring syntactic complexity in the academic writing of English students at the University of Vienna
Walter, Thomas. - 2017
BASE
Show details
18
The Role of Morphology in Word Recognition of Hebrew as a Templatic Language
Oganyan, Marina. - 2017
BASE
Show details
19
Language Science Meets Cognitive Science: Categorization and Adaptation
BASE
Show details
20
Symptom, symbol, and the other of language : a Jungian interpretation of the linguistic turn
Alderman, Bret. - New York : Routledge, 2016
BLLDB
UB Frankfurt Linguistik
Show details

Page: 1 2 3 4

Catalogues
15
0
0
0
0
0
2
Bibliographies
16
0
0
0
0
0
0
4
6
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
34
6
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern