Abstract
Current parsing models are not immediately applicable for languages that exhibit strong interaction between morphology and syntax, e.g., Modern Hebrew (MH), Arabic and other Semitic languages. This work represents a first attempt at modeling morphological-syntactic interaction in a generative probabilistic framework to allow for MH parsing. We show that morphological information selected in tandem with syntactic categories is instrumental for parsing Semitic languages. We further show that redundant morphological information helps syntactic disambiguation.
| Original language | English |
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| Pages | 49-54 |
| Number of pages | 6 |
| State | Published - 2006 |
| Externally published | Yes |
| Event | COLING/ACL 2006 Student Research Workshop. SRW 2006 at the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 - Sydney, Australia Duration: 17 Jul 2006 → 18 Jul 2006 |
Conference
| Conference | COLING/ACL 2006 Student Research Workshop. SRW 2006 at the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 |
|---|---|
| Country/Territory | Australia |
| City | Sydney |
| Period | 17/07/06 → 18/07/06 |
Bibliographical note
Funding Information:Acknowledgments I would like to thank Khalil Sima’an for supervising this work, Remko Scha, Rens Bod and Jelle Zuidema for helpful comments, and Alon Itai, Yoad Winter and Shuly Wintner for discussion. The Knowledge Center for Hebrew Processing provided corpora and tools, and Roy Bar-Haim provided knowledge and technical support for which I am grateful. This work is funded by the Netherlands Organization for Scientific Research (NWO) grant 017.001.271.
Publisher Copyright:
© 2006 Association for Computational Linguistics