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Ali Araabi

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3
same name
  • Ali Araabi — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHow Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?

5 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2023★ 1 cited

UvA-MT's Participation in the WMT23 General Translation Shared Task

Di Wu, Shaomu Tan, David Stap +2

This paper describes the UvA-MT's submission to the WMT 2023 shared task on general machine translation. We participate in the constrained track in two directions: English <-> Hebr…

cs.CL2023

Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables

Ali Araabi, Vlad Niculae, Christof Monz

Despite the tremendous success of Neural Machine Translation (NMT), its performance on low-resource language pairs still remains subpar, partly due to the limited ability to handle…

cs.CL2022★ 5 cited

How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?

Ali Araabi, Christof Monz, Vlad Niculae

Neural Machine Translation (NMT) is an open vocabulary problem. As a result, dealing with the words not occurring during training (a.k.a. out-of-vocabulary (OOV) words) have long b…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.