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Identifying the L1 of non-native writers: the CMU-Haifa system.

, , , , , , , and . BEA@NAACL-HLT, page 279-287. The Association for Computer Linguistics, (2013)978-1-937284-47-3.

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What Do Recurrent Neural Network Grammars Learn About Syntax?, , , , , and . EACL (1), page 1249-1258. Association for Computational Linguistics, (2017)The CMU Submission for the Shared Task on Language Identification in Code-Switched Data., , , and . CodeSwitch@EMNLP, page 80-86. Association for Computational Linguistics, (2014)Identifying the L1 of non-native writers: the CMU-Haifa system., , , , , , , and . BEA@NAACL-HLT, page 279-287. The Association for Computer Linguistics, (2013)978-1-937284-47-3.A Supertag-Context Model for Weakly-Supervised CCG Parser Learning., , , and . CoNLL, page 22-31. ACL, (2015)Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation., , , , , , , and . EMNLP, page 1520-1530. The Association for Computational Linguistics, (2015)Not All Contexts Are Created Equal: Better Word Representations with Variable Attention., , , , , , , and . EMNLP, page 1367-1372. The Association for Computational Linguistics, (2015)A Dependency Parser for Tweets., , , , , and . EMNLP, page 1001-1012. ACL, (2014)Paraphrasing 4 Microblog Normalization., , , and . EMNLP, page 73-84. ACL, (2013)Generalizing and Hybridizing Count-based and Neural Language Models., and . EMNLP, page 1163-1172. The Association for Computational Linguistics, (2016)Fast, Easy, and Cheap: Construction of Statistical Machine Translation Models with MapReduce., , , and . WMT@ACL, page 199-207. Association for Computational Linguistics, (2008)