Summary of the paper
| Title | ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English |
|---|---|
| Authors | Tim Vor Der Brück, Alexander Mehler and Zahurul Islam |
| 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, \collexen, is evaluated with respect to two tasks: text categorization and lexical coverage by example of the SUSANNE corpus and the \openanc. |
| Topics | Part-of-Speech Tagging, Statistical and Machine Learning Methods |
Full paper  |
ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English |
| Bibtex | @InProceedings{VORDERBRCK14.1099, author = {Tim Vor Der Brück and Alexander Mehler and Zahurul Islam}, title = {ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |