Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Pronunciation modelling and bootstrapping
Thesis (PhD (Electronic Engineering))--University of Pretoria, 2006.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Published: |
University of Pretoria
2013
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613454853996544 |
|---|---|
| access_status_str | Open Access |
| author2 | Barnard, E. |
| author_browse | Barnard, E. |
| author_facet | Barnard, E. |
| collection | Thesis |
| dc_rights_str_mv | © 2005, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Thesis (PhD (Electronic Engineering))--University of Pretoria, 2006. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/28611 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:36:24.683Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/28611 Pronunciation modelling and bootstrapping Barnard, E. mdavel@csir.co.za Davel, Marelie Hattingh Grapheme-to-phoneme conversion Grapheme-to-phoneme alignment Bootstrapping UCTD Thesis (PhD (Electronic Engineering))--University of Pretoria, 2006. Bootstrapping techniques have the potential to accelerate the development of language technology resources. This is of specific importance in the developing world where language technology resources are scarce and linguistic diversity is high. In this thesis we analyse the pronunciation modelling task within a bootstrapping framework, as a case study in the bootstrapping of language technology resources. We analyse the grapheme-to-phoneme conversion task in the search for a grapheme-to-phoneme conversion algorithm that can be utilised during bootstrapping. We experiment with enhancements to the Dynamically Expanding Context algorithm and develop a new algorithm for grapheme-tophoneme rule extraction (Default & Refine) that utilises the concept of a ‘default phoneme’ to create a cascade of increasingly specialised rules. This algorithm displays a number of attractive properties including rapid learning, language independence, good asymptotic accuracy, robustness to noise, and the production of a compact rule set. In order to have greater flexibility with regard to the various heuristic choices made during rewrite rule extraction, we define a new theoretical framework for analysing instance-based learning of rewrite rule sets. We define the concept of minimal representation graphs, and discuss the utility of these graphs in obtaining the smallest possible rule set describing a given set of discrete training data. We develop an approach for the interactive creation of pronunciation models via bootstrapping, and implement this approach in a system that integrates various of the analysed grapheme-to-phoneme alignment and conversion algorithms. The focus of this work is on combining machine learning and human intervention in such a way as to minimise the amount of human effort required during bootstrapping, and a generic framework for the analysis of this process is defined. Practical tools that support the bootstrapping process are developed and the efficiency of the process is analysed from both a machine learning and a human factors perspective. We find that even linguistically untrained users can use the system to create electronic pronunciation dictionaries accurately, in a fraction of the time the traditional approach requires. We create new dictionaries in a number of languages (isiZulu, Afrikaans and Sepedi) and demonstrate the utility of these dictionaries by incorporating them in speech technology systems. Electrical, Electronic and Computer Engineering unrestricted 2013-09-07T13:49:04Z 2005-10-11 2013-09-07T13:49:04Z 2005-08-01 2006-10-11 2005-10-11 Thesis Davel, M 2005, Pronunciation modelling and bootstrapping, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/28611 > http://hdl.handle.net/2263/28611 http://upetd.up.ac.za/thesis/available/etd-10112005-150530/ © 2005, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria |
| spellingShingle | Grapheme-to-phoneme conversion Grapheme-to-phoneme alignment Bootstrapping UCTD Pronunciation modelling and bootstrapping |
| title | Pronunciation modelling and bootstrapping |
| title_full | Pronunciation modelling and bootstrapping |
| title_fullStr | Pronunciation modelling and bootstrapping |
| title_full_unstemmed | Pronunciation modelling and bootstrapping |
| title_short | Pronunciation modelling and bootstrapping |
| title_sort | pronunciation modelling and bootstrapping |
| topic | Grapheme-to-phoneme conversion Grapheme-to-phoneme alignment Bootstrapping UCTD |
| url | http://hdl.handle.net/2263/28611 http://upetd.up.ac.za/thesis/available/etd-10112005-150530/ |