分布组合范畴意义模型在语言翻译中的应用

CoRR Pub Date : 2018-11-08 DOI:10.4204/EPTCS.283.3
Brian Tyrrell
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引用次数: 3

摘要

本文的目的是双重的:首先,我们将使用向量空间分布组成意义分类模型来比较爱尔兰语和英语句子的意义(从而确定一个句子何时是另一个句子的翻译)使用余弦相似度评分。然后,我们将概述一个程序,通过理解名词的语境,使用认知的概念空间模型翻译名词。我们将使用范畴ConvexRel上的度量来确定概念之间的距离(并确定一个名词何时是另一个名词的翻译)。这篇论文将集中于应用于爱尔兰语,盖尔语家族的一员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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