Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access

Claudia Marzi, Marcello Ferro, Claudia Caudai, Vito Pirrelli


Abstract
The lexicon is the store of words in long-term memory. Any attempt at modelling lexical competence must take issues of string storage seriously. In the present contribution, we discuss a few desiderata that any biologically-inspired computational model of the mental lexicon has to meet, and detail a multi-task evaluation protocol for their assessment. The proposed protocol is applied to a novel computational architecture for lexical storage and acquisition, the """"Topological Temporal Hebbian SOMs"""" (T2HSOMs), which are grids of topologically organised memory nodes with dedicated sensitivity to time-bound sequences of letters. These maps can provide a rigorous and testable conceptual framework within which to provide a comprehensive, multi-task protocol for testing the performance of Hebbian self-organising memories, and a comprehensive picture of the complex dynamics between lexical processing and the acquisition of morphological structure.
Anthology ID:
L12-1303
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
886–893
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/538_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Claudia Marzi, Marcello Ferro, Claudia Caudai, and Vito Pirrelli. 2012. Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 886–893, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access (Marzi et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/538_Paper.pdf