# Applying Distributional Compositional Categorical Models of Meaning to Language Translation

arXiv: https://arxiv.org/abs/1811.03274 · HTML: https://mlsanity.com/paper/1811.03274/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Nov 2018.

## Built on by (most cited first, 1 of 1)

- [Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing](https://mlsanity.com/paper/2102.02204/) (2021)

## Abstract (arXiv)

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.