Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring Pair-Wise NMT for Indian Languages   In this paper, we address the task of improving pair-wise machine translation
for specific low resource Indian languages. Multilingual NMT models have
demonstrated a reasonable amount of effectiveness on resource-poor languages.
In this work, we show that the performance of these models can be significantly
improved upon by using back-translation through a filtered back-translation
process and subsequent fine-tuning on the limited pair-wise language corpora.
The analysis in this paper suggests that this method can significantly improve
a multilingual model's performance over its baseline, yielding state-of-the-art
results for various Indian languages.

37
The categories of this paper are: supr-con
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
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
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The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
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The categories of this paper are: chem-ph
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg