Methods for dictionary generation

Authors:
V. A. Yatsko
Affiliations:
Katanov Khakas State University, Abakan, Russia
Venue:
Automatic Documentation and Mathematical Linguistics
Year:
2012

Citing 4
Cited 0

Term-weighting approaches in automatic text retrieval

Information Processing and Management: an International Journal
Supervised term weighting for automated text categorization

Proceedings of the 2003 ACM symposium on Applied computing
On the experience of designing an ontology for automatic analysis of user sentiments about commercial products

Automatic Documentation and Mathematical Linguistics
The interpretation of Bradford's law in terms of geometric progression

Automatic Documentation and Mathematical Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

A classification of lexicographic resources is proposed to support automatic textanalysis systems. Four types of dictionaries are distinguished and described, namely, terminological, terminological-statistical, thesauri, and ontologies. Methods for dictionary generation are divided into static and dynamic, as well as linear and stepwise. Methods for weighting terms are divided into intertextual and intratextual. The features of the TF*IDF algorithm are considered in detail. Two techniques for dictionary generation are described.