Establishing Interlingua in Multilingual Language Models
- URL: http://arxiv.org/abs/2109.01207v1
- Date: Thu, 2 Sep 2021 20:53:14 GMT
- Title: Establishing Interlingua in Multilingual Language Models
- Authors: Maksym Del, Mark Fishel
- Abstract summary: We show that different languages do converge to a shared space in large multilingual language models.
We extend our analysis to 28 diverse languages and find that the interlingual space exhibits a particular structure similar to the linguistic relatedness of languages.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Large multilingual language models show remarkable zero-shot cross-lingual
transfer performance on a range of tasks. Follow-up works hypothesized that
these models internally project representations of different languages into a
shared interlingual space. However, they produced contradictory results. In
this paper, we correct %one of the previous works the famous prior work
claiming that "BERT is not an Interlingua" and show that with the proper choice
of sentence representation different languages actually do converge to a shared
space in such language models. Furthermore, we demonstrate that this
convergence pattern is robust across four measures of correlation similarity
and six mBERT-like models. We then extend our analysis to 28 diverse languages
and find that the interlingual space exhibits a particular structure similar to
the linguistic relatedness of languages. We also highlight a few outlier
languages that seem to fail to converge to the shared space. The code for
replicating our results is available at the following URL:
https://github.com/maksym-del/interlingua.
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