What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Cognition
- Semantics
Her primary areas of study are Lexical decision task, Priming, Lexicon, Orthography and Semantics.
Her Lexical decision task study integrates concerns from other disciplines, such as Word recognition and Phonetics.
Her study in Word recognition is interdisciplinary in nature, drawing from both Natural language processing, Phonology, Psycholinguistics and Artificial intelligence.
Her work carried out in the field of Priming brings together such families of science as Facilitation, Semantic similarity and Lexical item.
In her study, Communication and Stimulus onset asynchrony is inextricably linked to Prime, which falls within the broad field of Facilitation.
Laurie Beth Feldman combines subjects such as Spelling, Morpheme and Representation with her study of Lexicon.
Her most cited work include:
- Morphological aspects of language processing. (523 citations)
- Lexical and conceptual representation in beginning and proficient bilinguals (479 citations)
- Relations among regular and irregular morphologically related words in the lexicon as revealed by repetition priming. (239 citations)
What are the main themes of her work throughout her whole career to date?
Laurie Beth Feldman spends much of her time researching Lexical decision task, Artificial intelligence, Word recognition, Morpheme and Facilitation.
The various areas that Laurie Beth Feldman examines in her Lexical decision task study include Stimulus onset asynchrony, Lexicon, Semantic similarity, Semantics and Priming.
Laurie Beth Feldman has included themes like Metaphor, Context and Natural language processing in her Artificial intelligence study.
Her work deals with themes such as Phonology, Ambiguity and Phonetics, which intersect with Word recognition.
Her Morpheme research integrates issues from Affix, Repetition, Prime, Word and Repetition priming.
Her Facilitation study combines topics from a wide range of disciplines, such as Cognitive psychology, Communication, Prime, Cognition and Verb.
She most often published in these fields:
- Lexical decision task (44.53%)
- Artificial intelligence (25.78%)
- Word recognition (25.78%)
What were the highlights of her more recent work (between 2015-2021)?
- Artificial intelligence (25.78%)
- Natural language processing (21.88%)
- Lexicon (26.56%)
In recent papers she was focusing on the following fields of study:
Laurie Beth Feldman focuses on Artificial intelligence, Natural language processing, Lexicon, Social media and Communication.
Her studies deal with areas such as Context and Perception as well as Artificial intelligence.
Her studies in Natural language processing integrate themes in fields like Word recognition, Typing and Priming.
The concepts of her Word recognition study are interwoven with issues in Orthography and Hebrew.
The study incorporates disciplines such as Algorithm, Lexical access, Foreign language and Morpheme in addition to Lexicon.
Her work on Lexical decision task expands to the thematically related Morpheme.
Between 2015 and 2021, her most popular works were:
- Discrimination in Lexical Decision (56 citations)
- Tweet Sentiment Analysis with Pronoun Choice Reveals Online Community Dynamics in Response to Crisis Events (13 citations)
- Models of Lexical Access and Morphological Processing (8 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Semantics
Her scientific interests lie mostly in Artificial intelligence, Lexicon, Natural language processing, Communication and Gesture.
Her research integrates issues of Lexical access, Foreign language, Discrimination learning, Lexical decision task and Algorithm in her study of Artificial intelligence.
Her Lexical decision task research is multidisciplinary, incorporating elements of Word recognition, Hebrew and German.
Her Lexicon research is multidisciplinary, incorporating perspectives in Morpheme, Vocabulary, Set, Semantics and Spelling.
Her Natural language processing research includes elements of Valence and Priming.
Her biological study spans a wide range of topics, including Sign language, Emoticon and Lexical diversity.
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