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Voice Quality

By John H. Esling, Scott R. Moisik, Allison Benner, Lise Crevier-Buchman

Voice Quality "The first description of voice quality production in forty years, this book provides a new framework for its study: The Laryngeal Articulator Model. Informed by instrumental examinations of the laryngeal articulatory mechanism, it revises our understanding of articulatory postures to explain the actions, vibrations and resonances generated in the epilarynx and pharynx."


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Let's Talk

By David Crystal

Let's Talk "Explores the factors that motivate so many different kinds of talk and reveals the rules we use unconsciously, even in the most routine exchanges of everyday conversation."



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Dissertation Information


Title: Towards an image-term co-occurence model for multilingual terminology alignment and cross-language image indexing Add Dissertation
Author: Diego Burgos H. Update Dissertation
Email: click here to access email
Homepage: http://romancelanguages.wfu.edu/faculty/Diego%20Burgos.html
Institution: Universitat Pompeu Fabra, Linguistic Sciences and Applied Linguistics
Completed in: 2014
Linguistic Subfield(s): Computational Linguistics; Text/Corpus Linguistics; Translation;
Subject Language(s): English
Spanish
Director(s): Leo Wanner

Abstract: This thesis addresses the potential that the relation between terms and images in multilingual specialized documentation has for glossary compilation, terminology alignment, and image indexing. It takes advantage of the recurrent use of these two modes of communication (i.e., text and images) in digital documents to build a bimodal co-occurrence model which aims at dynamically compiling glossaries of a wider coverage. The model relies on the developments of content-based image retrieval (CBIR) and text processing techniques. CBIR is used to make two images from different origin match, and text processing supports term recognition, artifact noun classification, and image-term association. The model aligns one image with its denominating term from collateral text, and then aligns this image with another image of the same artifact from a different document, which also enables the alignment of the two equivalent denominating terms. The ultimate goal of the model is to tackle the limitations and drawbacks of current static terminological repositories by generating bimodal, bilingual glossaries that reflect real usage, even when terms and images may originate from noisy corpora.