Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Ab Antiquo: Neural Proto-language Reconstruction   Historical linguists have identified regularities in the process of historic
sound change. The comparative method utilizes those regularities to reconstruct
proto-words based on observed forms in daughter languages. Can this process be
efficiently automated? We address the task of proto-word reconstruction, in
which the model is exposed to cognates in contemporary daughter languages, and
has to predict the proto word in the ancestor language. We provide a novel
dataset for this task, encompassing over 8,000 comparative entries, and show
that neural sequence models outperform conventional methods applied to this
task so far. Error analysis reveals variability in the ability of neural model
to capture different phonological changes, correlating with the complexity of
the changes. Analysis of learned embeddings reveals the models learn
phonologically meaningful generalizations, corresponding to well-attested
phonological shifts documented by historical linguistics.

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The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
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The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
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The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
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The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
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The categories of this paper are: econ