Work

ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English

Year: 2014

Type: conference-paper

Abstract: The paper describes a procedure for the automatic generation of a large full-form lexicon of English.We put emphasis on two statistical methods to lexicon extension and adjustment: in terms of a letter-based HMM and in terms of a detector of spelling variants and misspellings.The resulting resource, ColLex.EN, is evaluated with respect to two tasks: text categorization and lexical coverage by example of the SUSANNE corpus and the Open ANC.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/4ekt9s567q99

Authors: Tim vor der Brück, Alexander Mehler, Zahurul Islam

Institution: Goethe University Frankfurt

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2250473054

FWCI: 0.589

Cites: 18

Cited by: 3

Related to: 10