A study of recurrent neural networks for grammatical inference

A study of recurrent neural networks for grammatical inference

The objective of this thesis is twofold. Firstly, we want to study the potential of recurrent neural networks as inference engines for discovering rules generated by unknown grammars under the formal language hierarchy. Secondly, we wish to explore the (in)capabilities of recurrent networks for lear...

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Bibliographic Details
Main Author: Tan, Poy Boon.
Other Authors: Chen, Li Hui
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/19577
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Institution: Nanyang Technological University
Language: English
Description
Summary:The objective of this thesis is twofold. Firstly, we want to study the potential of recurrent neural networks as inference engines for discovering rules generated by unknown grammars under the formal language hierarchy. Secondly, we wish to explore the (in)capabilities of recurrent networks for learning grammars, proposing enhanced models to rectify any identified limitations.

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