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We introduce three simple randomized variants of byte pair encoding (BPE) andexplore whether randomizing the selection of merge operations substantiallyaffects a downstream machine translation task. We focus on translation intomorphologically rich languages, hypothesizing that this task may showsensitivity to the method of choosing subwords. Analysis using a Bayesianlinear model indicates that two of the variants perform nearlyindistinguishably compared to standard BPE while the other degrades performanceless than we anticipated. We conclude that although standard BPE is widelyused, there exists an interesting universe of potential variations on it worthinvestigating. Our code is available at: https://github.com/bltlab/random-bpe.

What changes when you randomly choose BPE merge operations? Not much