The repetition rate of text as a predictor of the effectiveness of machine translation adaptation

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Findings of the 2015 Workshop on Statistical Machine Translation (2015, positive): “The two runs submitted by FBK (Chatterjee et al., 2015a) are based on combining the statistical phrase-based post-editing approach proposed by Simard et al. (2007) and its most significant variant proposed by Béchara et al.”
Compact Personalized Models for Neural Machine Translation (2018, methodology): “For these tasks, both tests sets exhibit lower repetition rates5 (Cettolo et al., 2014)”
Generating Counter Narratives against Online Hate Speech: Data and Strategies (2020, methodology): “The Repetition Rate (RR) is used to measure the repetitiveness of a collection of texts, by considering the rate of non-singleton n-gram types it contains (Cettolo et al., 2014; Bertoldi et al., 2013).”
Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering (2022, methodology): “Repetition Rate (RR) measures the language diversity within a corpus using the rate of non-singleton ngram types (Cettolo et al., 2014; Bertoldi et al., 2013).”