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Jiang, Hang; Frank, Michael C.; Kulkarni, Vivek; Fourtassi, Abdellah – Cognitive Science, 2022
The linguistic input children receive across early childhood plays a crucial role in shaping their knowledge about the world. To study this input, researchers have begun applying distributional semantic models to large corpora of child-directed speech, extracting various patterns of word use/co-occurrence. Previous work using these models has not…
Descriptors: Caregivers, Caregiver Child Relationship, Linguistic Input, Semantics
Ger, Ebru; You, Guanghao; Küntay, Aylin C.; Göksun, Tilbe; Stoll, Sabine; Daum, Moritz M. – Cognitive Science, 2022
Becoming productive with grammatical categories is a gradual process in children's language development. Here, we investigated this transition process by focusing on Turkish causatives. Previous research examining spontaneous and elicited production of Turkish causatives with familiar verbs attested the onset and early stages of productivity at…
Descriptors: Turkish, Morphology (Languages), Longitudinal Studies, Computational Linguistics
Roettger, Timo B.; Franke, Michael – Cognitive Science, 2019
Intonation plays an integral role in comprehending spoken language. Listeners can rapidly integrate intonational information to predictively map a given pitch accent onto the speaker's likely referential intentions. We use mouse tracking to investigate two questions: (a) how listeners draw predictive inferences based on information from…
Descriptors: Cues, Intonation, Language Processing, Speech Communication
Coco, Moreno I.; Keller, Frank; Malcolm, George L. – Cognitive Science, 2016
The human sentence processor is able to make rapid predictions about upcoming linguistic input. For example, upon hearing the verb eat, anticipatory eye-movements are launched toward edible objects in a visual scene (Altmann & Kamide, 1999). However, the cognitive mechanisms that underlie anticipation remain to be elucidated in ecologically…
Descriptors: Role, Memory, Visual Perception, Linguistic Input
Janciauskas, Marius; Chang, Franklin – Cognitive Science, 2018
Language learning requires linguistic input, but several studies have found that knowledge of second language (L2) rules does not seem to improve with more language exposure (e.g., Johnson & Newport, 1989). One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we…
Descriptors: Linguistic Input, Second Language Learning, Age Differences, Syntax
Lev-Ari, Shiri – Cognitive Science, 2016
People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals' linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in…
Descriptors: Social Networks, Semantics, Language Processing, Dining Facilities
Kolodny, Oren; Lotem, Arnon; Edelman, Shimon – Cognitive Science, 2015
We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given…
Descriptors: Grammar, Natural Language Processing, Computer Mediated Communication, Graphs
Ambridge, Ben; Rowland, Caroline F.; Pine, Julian M. – Cognitive Science, 2008
According to Crain and Nakayama (1987), when forming complex yes/no questions, children do not make errors such as "Is the boy who smoking is crazy?" because they have innate knowledge of "structure dependence" and so will not move the auxiliary from the relative clause. However, simple recurrent networks are also able to avoid…
Descriptors: Children, Language Processing, Language Patterns, Linguistic Input
Grodner, Daniel; Gibson, Edward – Cognitive Science, 2005
All other things being equal the parser favors attaching an ambiguous modifier to the most recent possible site. A plausible explanation is that locality preferences such as this arise in the service of minimizing memory costs--more distant sentential material is more difficult to reactivate than more recent material. Note that processing any…
Descriptors: Linguistic Input, Sentence Structure, Language Processing, English