Meaning Helps Learning Syntax

DMCA

Meaning Helps Learning Syntax (1998)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Isabelle Tellier

Venue:	in [ICGI 98
Citations:	10 - 2 self

BibTeX

@INPROCEEDINGS{Tellier98meaninghelps,
    author = {Isabelle Tellier},
    title = {Meaning Helps Learning Syntax},
    booktitle = {in [ICGI 98},
    year = {1998},
    pages = {25--36},
    publisher = {Springer-Verlag}
}

OpenURL

Abstract

. In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken into account, which seems cognitively relevant for the modeling of natural language learning. The syntactic formalism used is the one of Lambek categorial grammars and meaning is represented with logical formulas. The principle of compositionality is admitted and defined as an isomorphism applying to trees and allowing to automatically translate sentences into their semantic representation(s). Simple simulations of a learning algorithm are extensively developed and discussed. 1 Introduction Natural language learning seems, from a formal point of view, an enigma. As a matter of fact, every human being, given nearly exclusively positive examples ([25]), is able at the age of about five to master his/her mother tongue. Though every natural language has at least the power of context-free grammars ([22]), this cla...

Keyphrases

help learning syntax formal grammar natural language introduction natural language learning mother tongue semantic representation simple simulation learning algorithm computational learning positive example formal point positive data context-free grammar lambek categorial grammar semantic information syntactic formalism logical formula natural language learning new framework

DMCA