Publishing Partner: Cambridge University Press CUP Extra Publisher Login

New from Cambridge University Press!

ad

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."


New from Oxford University Press!

ad

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."



E-mail this page 1

We Have a New Site!

With the help of your donations we have been making good progress on designing and launching our new website! Check it out at https://linguistlist.org/!
***We are still in our beta stages for the new site--if you have any feedback, be sure to let us know at webdevlinguistlist.org***

Dissertation Information


Title: The Word-Space Model: Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces Add Dissertation
Author: Magnus Sahlgren Update Dissertation
Email: click here to access email
Homepage: http://www.sics.se/~mange
Institution: Stockholm University, Department of Linguistics
Completed in: 2006
Linguistic Subfield(s): Computational Linguistics;
Director(s): Jussi Karlgren

Abstract: The word-space model is a computational model of word meaning that
utilizes the distributional patterns of words collected over large
text data to represent semantic similarity between words in terms of
spatial proximity. The model has been used for over a decade, and has
demonstrated its mettle in numerous experiments and applications. It
is now on the verge of moving from research environments to practical
deployment in commercial systems. Although extensively used and
intensively investigated, our theoretical understanding of the
word-space model remains unclear. The question this dissertation
attempts to answer is, 'What kind of semantic information does the
word-space model acquire and represent?'

The answer is derived through an identification and discussion of the
three main theoretical cornerstones of the word-space model: the
geometric metaphor of meaning, the distributional methodology, and the
structuralist meaning theory. It is argued that the word-space model
acquires and represents two different types of relations between words
- syntagmatic or paradigmatic relations - depending on how the
distributional patterns of words are used to accumulate word
spaces. The difference between syntagmatic and paradigmatic word
spaces is empirically demonstrated in a number of experiments,
including comparisons with thesaurus entries, association norms, a
synonym test, a list of antonym pairs, and a record of part-of-speech
assignments.