Alert button
Picture for Brian Tyrrell

Brian Tyrrell

Alert button

University of Oxford

Applying Distributional Compositional Categorical Models of Meaning to Language Translation

Add code
Bookmark button
Alert button
Nov 08, 2018
Brian Tyrrell

Figure 1 for Applying Distributional Compositional Categorical Models of Meaning to Language Translation
Figure 2 for Applying Distributional Compositional Categorical Models of Meaning to Language Translation
Figure 3 for Applying Distributional Compositional Categorical Models of Meaning to Language Translation
Figure 4 for Applying Distributional Compositional Categorical Models of Meaning to Language Translation

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.

* EPTCS 283, 2018, pp. 28-49  
* In Proceedings CAPNS 2018, arXiv:1811.02701 
Viaarxiv icon
Github IconAccess Paper or Ask Questions
Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon