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A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English.

, , , , and . COLING, page 771-787. International Committee on Computational Linguistics, (2020)

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The taming of the data: Using text mining in building a corpus for diachronic analysis, , , , and . Varieng - From Data to Evidence (d2e), University of Helsinki, (October 2015)A resource for the diachronic study of scientific English: Introducing the Royal Society Corpus, , , , , and . Corpus Linguistics 2015, Lancaster, (July 2015)Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach., , and . LREC, page 2786-2790. European Language Resources Association (ELRA), (2012)The Scientization of Literary Study., and . LaTeCH@NAACL-HLT, page 18-28. Association for Computational Linguistics, (2019)Information-based Modeling of Diachronic Linguistic Change: from Typicality to Productivity., and . LaTeCH@ACL, The Association for Computer Linguistics, (2016)Modeling intra-textual variation with entropy and surprisal: topical vs. stylistic patterns., and . LaTeCH@ACL, page 68-77. Association for Computational Linguistics, (2017)Using relative entropy for detection and analysis of periods of diachronic linguistic change., and . LaTeCH@COLING, page 22-33. Association for Computational Linguistics, (2018)Some steps towards the generation of diachronic WordNets., , , and . NODALIDA, page 55-64. Linköping University Electronic Press, (2019)Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings., , , , and . LChange@ACL, page 175-185. Association for Computational Linguistics, (2019)A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English., , , , and . COLING, page 771-787. International Committee on Computational Linguistics, (2020)