Lexical Semantics Semantic Fields And Collocations


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Lexical Semantics


Lexical Semantics

Author: U. Dürr

language: en

Publisher: GRIN Verlag

Release Date: 2012


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Seminar paper from the year 2011 in the subject English Language and Literature Studies - Linguistics, grade: 1,0, University of Würzburg, language: English, abstract: This term paper will focus on an aspect of lexical semantics: interrelations of word meanings on a paradigmatic, as well as on a syntagmatic level. Starting with paradigmatic word relations, the paper will cover the topic of semantic fields first, describing the history of how this aspect was introduced to semantics and explaining the theoretical background behind the topic. Furthermore the development of different theories from the first structuralist approaches in the 1930s to the more recent approaches of cognitive semantics and the frame theory will be outlined. In the second part, the paper will cover the topic of syntagmatic relations of word meanings, namely collocations. The term will be defined and examples will be mentioned, before dealing with the important concepts of 'statistically significant' and 'institutionalized collocations'. Finally there will be a demarcation to the phenomenon of idioms, before the term paper finishes with a conclusion about the whole topic.

Lexical Semantics: Semantic Fields and Collocations


Lexical Semantics: Semantic Fields and Collocations

Author: U. Dürr

language: en

Publisher: GRIN Verlag

Release Date: 2012-01-17


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Seminar paper from the year 2011 in the subject English Language and Literature Studies - Linguistics, grade: 1,0, University of Würzburg, language: English, abstract: This term paper will focus on an aspect of lexical semantics: interrelations of word meanings on a paradigmatic, as well as on a syntagmatic level. Starting with paradigmatic word relations, the paper will cover the topic of semantic fields first, describing the history of how this aspect was introduced to semantics and explaining the theoretical background behind the topic. Furthermore the development of different theories from the first structuralist approaches in the 1930s to the more recent approaches of cognitive semantics and the frame theory will be outlined. In the second part, the paper will cover the topic of syntagmatic relations of word meanings, namely collocations. The term will be defined and examples will be mentioned, before dealing with the important concepts of ‘statistically significant’ and ‘institutionalized collocations’. Finally there will be a demarcation to the phenomenon of idioms, before the term paper finishes with a conclusion about the whole topic.

Semantic Analysis of Verbal Collocations with Lexical Functions


Semantic Analysis of Verbal Collocations with Lexical Functions

Author: Alexander Gelbukh

language: en

Publisher: Springer

Release Date: 2012-08-09


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This book is written for both linguists and computer scientists working in the field of artificial intelligence as well as to anyone interested in intelligent text processing. Lexical function is a concept that formalizes semantic and syntactic relations between lexical units. Collocational relation is a type of institutionalized lexical relations which holds between the base and its partner in a collocation. Knowledge of collocation is important for natural language processing because collocation comprises the restrictions on how words can be used together. The book shows how collocations can be annotated with lexical functions in a computer readable dictionary - allowing their precise semantic analysis in texts and their effective use in natural language applications including parsers, high quality machine translation, periphrasis system and computer-aided learning of lexica. The books shows how to extract collocations from corpora and annotate them with lexical functions automatically. To train algorithms, the authors created a dictionary of lexical functions containing more than 900 Spanish disambiguated and annotated examples which is a part of this book. The obtained results show that machine learning is feasible to achieve the task of automatic detection of lexical functions.