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Coordinate Structures in Universal Dependencies for Head-final Languages.

, , , , , , and . UDW@EMNLP, page 75-84. Association for Computational Linguistics, (2018)

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Detecting errors in English article usage by non-native speakers., , and . Nat. Lang. Eng., 12 (2): 115-129 (2006)Building Universal Dependency Treebanks in Korean., , , and . LREC, European Language Resources Association (ELRA), (2018)Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions., , , , , and . *SEM, page 178-188. Association for Computational Linguistics, (2017)Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions., , , , , and . CoRR, (2017)Detecting Errors in English Article Usage with a Maximum Entropy Classifier Trained on a Large, Diverse Corpus., , and . LREC, European Language Resources Association, (2004)Accurate Measurement of Lexical Sophistication in ESL with Reference to Learner Data., , , , and . EDM, International Educational Data Mining Society (IEDMS), (2018)Adposition Supersenses v2., , , , , , and . CoRR, (2017)Coordinate Structures in Universal Dependencies for Head-final Languages., , , , , , and . UDW@EMNLP, page 75-84. Association for Computational Linguistics, (2018)Klex: A Finite-State Transducer Lexicon of Korean.. FSMNLP, volume 4002 of Lecture Notes in Computer Science, page 67-77. Springer, (2005)Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System., , , and . LREC, European Language Resources Association, (2010)