多语言LMs中句子表示的相似性:解决文献冲突及波罗的海语言个案研究

Maksym Del, Mark Fishel
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引用次数: 2

摘要

. 低资源语言,如波罗的海语言,受益于大型多语言模型(Large Multilingual Models, LMs),它具有显著的跨语言迁移性能。这项工作是对多语言lm的跨语言表征的解释和分析研究。先前的研究假设,这些LMs在内部将不同语言的表示投影到共享的跨语言空间中。然而,文献得出了相互矛盾的结果。在本文中,我们回顾了先前的工作,声称“BERT不是一个Interlingua”,并表明在这种语言模型中,不同的语言确实收敛到一个共享空间,使用另一种池化策略或相似度索引。然后,我们对两种最流行的多语言lm进行跨语言表征分析,采用378对语言比较。我们发现,虽然大多数语言共享共同的跨语言空间,但有些语言却没有。然而,我们注意到,波罗的海语言确实属于这一共同空间。1
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Similarity of Sentence Representations in Multilingual LMs: Resolving Conflicting Literature and a Case Study of Baltic Languages
. Low-resource languages, such as Baltic languages, benefit from Large Multilingual Models (LMs) that possess remarkable cross-lingual transfer performance capabilities. This work is an interpretation and analysis study into cross-lingual representations of Multilingual LMs. Previous works hypothesized that these LMs internally project representations of different languages into a shared cross-lingual space. However, the literature produced contradictory results. In this paper, we revisit the prior work claiming that "BERT is not an Interlingua" and show that different languages do converge to a shared space in such language models with another choice of pooling strategy or similarity index. Then, we perform cross-lingual representational analysis for the two most popular multilingual LMs employing 378 pairwise language comparisons. We discover that while most languages share joint cross-lingual space, some do not. However, we observe that Baltic languages do belong to that shared space. 1
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