Automatic analysis of syntactic complexity in second language writing

By Xiaofei Lu. 2010

1,053 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Computational Linguistics & Semantics, Linguistics

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Citations in the corpus

Analysing Data-To-Text Generation Benchmarks (2017, methodology): “When evaluated against a gold standard of 500 sentences independently rated by two annotators with a very high inter-annotator agreement (kappa = 0.91), the system achieves an F-Score of 93.2% (Lu, 2010).”
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets (2021, methodology): “To characterize sentence complexity, we follow [42] and use the 8-level developmental level scale proposed by [43], using the implementation provided by [44] (see scale in Appendix B).”
Individual Differences and the Ergodicity Problem (2018, methodology): “At least for motivation, we can conclude that case studies focusing on change over time can provide relevant and interesting information about the patterns of language development for single individuals. However, with all these fluctuations in individual data, the question is what these single case ”
Effects of Task Complexity on L2 Writing Behaviors and Linguistic Complexity (2017, methodology): “Lexical variability was assessed by Malvern and Richards’s (1997) D formula and the measure of textual lexical diversity (MTLD; McCarthy & Jarvis, 2010).”
Assessing syntactic sophistication in L2 writing: A usage-based approach (2017, background): “The results indicate that the relationship between indices of syntactic complexity calculated by the syntactic complexity analyzer (SCA) and TOEFL independent essay scores was significant, but small.”
Does the writing of undergraduate ESL students develop after one year of study in an English-medium university? (2014, neutral): “We acknowledge that our claim regarding lack of grammatical complexity is limited to the three measures (W/T, C/T and W/C) employed in the current study, and a different picture may emerge, if one employs a different measure of grammatical complexity (e.g., see Lu, 2010).”
Same language, different functions: A cross-genre analysis of Chinese EFL learners’ writing performance (2016, methodology): “Given that we are investigating eight measures and therefore performing eight tests on the same dataset simultaneously, we employ the Bonferroni correction to avoid spurious positives, following (Lu, 2010).”
Measuring Syntactic Complexity in L2 Writing Using Fine‐Grained Clausal and Phrasal Indices (2018, methodology): “These findings support previous studies, such as Lu (2010, 2011), who found similar results across university levels (i.e., as university level increased, writers used longer clauses and more coordinate phrases per clause).”