Applying Distributional Compositional Categorical Models of Meaning to Language Translation

Brian Tyrrell
(University of Oxford)

The aim of this paper is twofold: first we will use vector space distributional compositional categorical models of meaning to compare the meaning of sentences in Irish and in English (and thus ascertain when a sentence is the translation of another sentence) using the cosine similarity score. Then we shall outline a procedure which translates nouns by understanding their context, using a conceptual space model of cognition. We shall use metrics on the category ConvexRel to determine the distance between concepts (and determine when a noun is the translation of another noun). This paper will focus on applications to Irish, a member of the Gaelic family of languages.

In Martha Lewis, Bob Coecke, Jules Hedges, Dimitri Kartsaklis and Dan Marsden: Proceedings of the 2018 Workshop on Compositional Approaches in Physics, NLP, and Social Sciences (CAPNS 2018), Nice, France, 2-3rd September 2018, Electronic Proceedings in Theoretical Computer Science 283, pp. 28–49.
Published: 8th November 2018.

ArXived at: http://dx.doi.org/10.4204/EPTCS.283.3 bibtex PDF
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