Applying Distributional Compositional Categorical Models of Meaning to Language Translation
Computation and Language
2018-11-09 v1
Abstract
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.
Keywords
Cite
@article{arxiv.1811.03274,
title = {Applying Distributional Compositional Categorical Models of Meaning to Language Translation},
author = {Brian Tyrrell},
journal= {arXiv preprint arXiv:1811.03274},
year = {2018}
}
Comments
In Proceedings CAPNS 2018, arXiv:1811.02701