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Revitalizing Endangered Languages

Edited by Justyna Olko & Julia Sallabank

Revitalizing Endangered Languages "This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies."



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Dissertation Information


Title: Towards 'PATR-DOP': Implementing a Stochastic Parser for Phrase Disambiguation Add Dissertation
Author: Neil Thompson Update Dissertation
Email: click here to access email
Institution: University of Essex, MA Computational Linguistics
Completed in: 2002
Linguistic Subfield(s): Computational Linguistics;
Director(s): Doug Arnold

Abstract: Data oriented parsing is a technique which is able to assign probabilities to data in a corpus at many different levels. In this dissertation an implementation in Prolog obtains probabilities of tree structures and feature structures and uses these to find the most probable representation for a new input sentence. A simple top down parser is found to perform relatively well in this environment. Two techniques - Monte Carlo parsing and a proposed complementary derivation-restricting technique are used to reduce the data load and parse times.