Automatic measurement of syntactic complexity in child language acquisition

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The E2E Dataset: New Challenges For End-to-End Generation (2017, methodology): “We used the D-Level Analyser (Lu, 2009) to evaluate syntactic variation and complexity of human references using the revised D-Level Scale (Lu, 2014).”
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge (2019, methodology): “We used the D-Level Analyser (Lu, 2009) to evaluate the syntactic complexity of human references in our data using the revised D-Level Scale (Covington et al.”
SLURP: A Spoken Language Understanding Resource Package (2020, methodology): “Syntactic analysis: Next, we use the D-Level Analyser (Lu, 2009) to evaluate the syntactic complexity of user utterances according to the revised D-Level scale (Covington et al., 2006), where higher levels correspond to more complex, deeper syntactic structures, e.g. 0-1 levels include simple…”
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models (2019, methodology): “(D-Level) score according to the D-Level analyser (Lu, 2009).”