What is he best known for?
The fields of study he is best known for:
- Linguistics
- Artificial intelligence
- Natural language processing
His primary scientific interests are in Natural language processing, Artificial intelligence, Linguistics, Word and World Wide Web.
His work deals with themes such as Word-sense disambiguation and Information retrieval, which intersect with Natural language processing.
His work in the fields of Linguistics, such as Computational linguistics and Polysemy, overlaps with other areas such as Sample and History.
Adam Kilgarriff has researched Word in several fields, including Corpus linguistics and Lexicography.
His studies deal with areas such as Czech, Thesaurus, Production and Grammar as well as Corpus linguistics.
The study incorporates disciplines such as Grammatical error and Library science in addition to World Wide Web.
His most cited work include:
- Introduction to the special issue on the web as corpus (655 citations)
- The Sketch Engine (546 citations)
- The Sketch Engine: ten years on (439 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Natural language processing, Linguistics, Word and Lexicography.
He has included themes like Grammar and Collocation in his Artificial intelligence study.
His Natural language processing study incorporates themes from Word-sense disambiguation and Information retrieval, Thesaurus.
His Linguistics and Computational linguistics, Noun, Variation, Verb and Language acquisition investigations all form part of his Linguistics research activities.
The Word study combines topics in areas such as Polysemy, Natural language and Focus.
When carried out as part of a general Lexicography research project, his work on Word sketch is frequently linked to work in Lexicographical order, therefore connecting diverse disciplines of study.
He most often published in these fields:
- Artificial intelligence (66.41%)
- Natural language processing (65.65%)
- Linguistics (32.82%)
What were the highlights of his more recent work (between 2012-2015)?
- Artificial intelligence (66.41%)
- Natural language processing (65.65%)
- Linguistics (32.82%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Natural language processing, Linguistics, Corpus linguistics and Word.
His research investigates the link between Artificial intelligence and topics such as Relation that cross with problems in Collocation.
His Natural language processing research includes elements of Domain, Terminology, User Friendly and Interface.
His work on Language acquisition, Vocabulary and Lexical analysis as part of general Linguistics study is frequently linked to Product, therefore connecting diverse disciplines of science.
His Corpus linguistics study integrates concerns from other disciplines, such as Proper noun, Text corpus, Arabic and Lexicography.
In the subject of general Word, his work in Word lists by frequency is often linked to Special case, thereby combining diverse domains of study.
Between 2012 and 2015, his most popular works were:
- The Sketch Engine: ten years on (439 citations)
- The TenTen Corpus Family (103 citations)
- Tony McEnery and Andrew Hardie. Corpus Linguistics: Method, Theory and Practice. (39 citations)
In his most recent research, the most cited papers focused on:
- Linguistics
- Artificial intelligence
- Programming language
Adam Kilgarriff mostly deals with Linguistics, Corpus linguistics, Lexicography, Artificial intelligence and Natural language processing.
Adam Kilgarriff is interested in Language acquisition, which is a branch of Linguistics.
His Language acquisition research is multidisciplinary, incorporating perspectives in Corpus based, Language education, Vocabulary, Humanities and Focus.
His studies in Lexicography integrate themes in fields like Multimedia, World Wide Web, Thesaurus, Upload and Software.
In the field of Artificial intelligence, his study on Word lists by frequency overlaps with subjects such as A domain.
His Word lists by frequency study contributes to a more complete understanding of Word.
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