Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Linking Emergent and Natural Languages via Corpus Transfer   The study of language emergence aims to understand how human languages are
shaped by perceptual grounding and communicative intent. Computational
approaches to emergent communication (EC) predominantly consider referential
games in limited domains and analyze the learned protocol within the game
framework. As a result, it remains unclear how the emergent languages from
these settings connect to natural languages or provide benefits in real-world
language processing tasks, where statistical models trained on large text
corpora dominate. In this work, we propose a novel way to establish such a link
by corpus transfer, i.e. pretraining on a corpus of emergent language for
downstream natural language tasks, which is in contrast to prior work that
directly transfers speaker and listener parameters. Our approach showcases
non-trivial transfer benefits for two different tasks -- language modeling and
image captioning. For example, in a low-resource setup (modeling 2 million
natural language tokens), pre-training on an emergent language corpus with just
2 million tokens reduces model perplexity by $24.6\%$ on average across ten
natural languages. We also introduce a novel metric to predict the
transferability of an emergent language by translating emergent messages to
natural language captions grounded on the same images. We find that our
translation-based metric highly correlates with the downstream performance on
modeling natural languages (for instance $\rho=0.83$ on Hebrew), while
topographic similarity, a popular metric in previous work, shows surprisingly
low correlation ($\rho=0.003$), hinting that simple properties like attribute
disentanglement from synthetic domains might not capture the full complexities
of natural language. Our findings also indicate potential benefits of moving
language emergence forward with natural language resources and models.

20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
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The categories of this paper are: q-fin
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The categories of this paper are: eess
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
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The categories of this paper are: quant-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: cmp-lg