What is she best known for?
The fields of study she is best known for:
- Linguistics
- Programming language
- Artificial intelligence
Her scientific interests lie mostly in Linguistics, Smalltalk, Syntax, Syntax and Construction grammar.
Resultative, Argument, Categorization, Domain of discourse and Discourse analysis are among the areas of Linguistics where Adele E. Goldberg concentrates her study.
She has researched Smalltalk in several fields, including Multimedia and Software engineering.
Her Syntax research includes themes of Variety, Linguistic universal, Theoretical linguistics and Information system.
Adele E. Goldberg has included themes like Pure mathematics, Grammatical construction and Emergent grammar, Generative grammar, Head-driven phrase structure grammar in her Construction grammar study.
Her Generative grammar research is multidisciplinary, incorporating perspectives in Language acquisition and Meaning.
Her most cited work include:
- Smalltalk-80: The Language and its Implementation (3061 citations)
- Constructions: A Construction Grammar Approach to Argument Structure (3013 citations)
- Constructions at Work: The Nature of Generalization in Language (1525 citations)
What are the main themes of her work throughout her whole career to date?
Adele E. Goldberg mostly deals with Linguistics, Artificial intelligence, Cognitive psychology, Verb and Natural language processing.
Her work is connected to Syntax, Grammar, Semantics, Language acquisition and Categorization, as a part of Linguistics.
Her Syntax research is multidisciplinary, relying on both Phrase structure rules and Structural priming, Priming.
The study incorporates disciplines such as Generalization and Task analysis in addition to Language acquisition.
The various areas that Adele E. Goldberg examines in her Cognitive psychology study include Psycholinguistics, Word, Comprehension and Literal.
Her Verb research includes elements of Word order, Meaning, Sentence, Structure and Argument.
She most often published in these fields:
- Linguistics (50.74%)
- Artificial intelligence (13.97%)
- Cognitive psychology (13.97%)
What were the highlights of her more recent work (between 2016-2021)?
- Linguistics (50.74%)
- Artificial intelligence (13.97%)
- Cognitive psychology (13.97%)
In recent papers she was focusing on the following fields of study:
Adele E. Goldberg spends much of her time researching Linguistics, Artificial intelligence, Cognitive psychology, Natural language processing and Generalization.
Her multidisciplinary approach integrates Linguistics and Function in her work.
Her Artificial intelligence research integrates issues from Grammatical construction and Mouse tracking.
Her Cognitive psychology study combines topics from a wide range of disciplines, such as Word, Cognitive linguistics, Affect and First language.
In the field of Natural language processing, her study on Sentence and Language model overlaps with subjects such as Transformer.
Her Generalization research is multidisciplinary, incorporating elements of Convention, Property, Key and Convergence.
Between 2016 and 2021, her most popular works were:
- Explain Me This: Creativity, Competition, and the Partial Productivity of Constructions (53 citations)
- Linguistic generalization on the basis of function and constraints on the basis of statistical preemption (25 citations)
- Patterns of Experience in Patterns of Language (14 citations)
In her most recent research, the most cited papers focused on:
- Linguistics
- Artificial intelligence
- Programming language
Adele E. Goldberg mainly focuses on Linguistics, Semantics, Partial productivity, Function and Generalization.
Her study in Phrase structure rules, Syntax, L2 learners, German and Literal and figurative language are all subfields of Linguistics.
Her Syntax study incorporates themes from Noun, Noun phrase, Structural priming and Numeral system.
Her Semantics study integrates concerns from other disciplines, such as Language acquisition, Meaning, Word, Cognitive linguistics and Ambiguity.
Adele E. Goldberg interconnects Classifier, Task analysis, Variation, Regularization and Natural language in the investigation of issues within Language acquisition.
Her studies in Generalization integrate themes in fields like Convention, Property, Cognitive science and Inference.
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