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Results: 11
Number of items: 11
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Tsarfaty, R., & Sima'an, K. (2010). Modeling morphosyntactic agreement in constituency-based parsing of modern Hebrew. In Proceedings of the first workshop on Statistical Parsing of Morphologically Rich Languages (SPMRL 2010) at NAACL HLT 2010, Los Angeles, CA (pp. 40-48). Association for Computational Linguistics (ACL). http://portal.acm.org/citation.cfm?id=1868771.1868776
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Tsarfaty, R., Sima'an, K., & Scha, R. (2009). An alternative to head-driven approaches for parsing a (relatively) free word-order language. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: a meeting of SIGDAT, a special interest group of ACL : 6-7 August 2009, Singapore, held in conjunction with ACL-IJCNLP 2009 (Vol. 2, pp. 842-851). Association for Computational Linguistics (ACL). http://140.116.245.248/ACL-IJCNLP-2009/EMNLP/pdf/EMNLP088.pdf
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Tsarfaty, R., & Sima'an, K. (2008). Relational-realizational parsing. In Coling 2008: 22nd International Conference on Computational Linguistics: Proceedings of the conference: Volume 1 (pp. 889-896). Association for Computational Linguistics (ACL). http://www.aclweb.org/anthology-new/C/C08/C08-1112.pdf -
Tsarfaty, R., & Sima'an, K. (2007). Accurate Unlexicalized Parsing for Modern Hebrew. In V. MatouĊĦek, & P. Mautner (Eds.), Text, Speech and Dialogue: 10th International Conference, TSD 2007, Pilsen, Czech Republic, September 3-7, 2007 : proceedings (pp. 39-47). (Lecture Notes in Computer Science; Vol. 4629), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-540-74628-7_8
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Tsarfaty, R. (2007). Participants in Action: The Interplay of Aspectual Meanings and Thematic Relations in the Semantics of Semitic Morphology. In B. D. ten Cate, & H. W. Zeevat (Eds.), Logic, Language, and Computation: 6th International Tbilisi Symposium on Logic, Language, and Computation,TbiLLC 2005 Batumi, Georgia, September 12-16, 2005 : revised selected papers (pp. 200-215). (Lecture Notes in Computer Science; Vol. 4363), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-540-75144-1_15
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