Title |
A Fast, Memory Efficient, Scalable and Multilingual Dictionary Retriever |
Authors |
Paulo Fernandes, Lucelene Lopes, Carlos A. Prolo, Afonso Sales and Renata Vieira |
Abstract |
This paper presents a novel approach to deal with dictionary retrieval. This new approach is based on a very efficient and scalable theoretical structure called Multi-Terminal Multi-valued Decision Diagrams (MTMDD). Such tool allows the definition of very large, even multilingual, dictionaries without significant increase in memory demands, and also with virtually no additional processing cost. Besides the general idea of the novel approach, this paper presents a description of the technologies involved, and their implementation in a software package called WAGGER. Finally, we also present some examples of usage and possible applications of this dictionary retriever. |
Topics |
Tools, systems, applications, Lexicon, lexical database, Multilinguality |
Full paper |
A Fast, Memory Efficient, Scalable and Multilingual Dictionary Retriever |
Bibtex |
@InProceedings{FERNANDES12.966,
author = {Paulo Fernandes and Lucelene Lopes and Carlos A. Prolo and Afonso Sales and Renata Vieira}, title = {A Fast, Memory Efficient, Scalable and Multilingual Dictionary Retriever}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |