Finding the Optimal Byte-Pair Encoding Merge Operations for Neural  Machine Translation in a Low-Resource Setting
Authors: Kristine Mae M. Adlaon, Nelson Marcos


Reviewer paper summaries: This paper discussed the influence of the number of merge operations of BPE on the final translation performance. They claim that with a smaller BPE configuration, the vocabulary provides more fine-grained tokenization and thus enhances translation performance. They own this to preserve more morphology information due to the smaller BPE configuration.
Summary of strengths: The writing is easy to understand, and the experiments are solid.
Summary of weaknesses: n/a
Comments, suggestions and typos: n/a
Overall assessment scores: 4