Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-vfjqv Total loading time: 0 Render date: 2024-04-26T23:00:46.032Z Has data issue: false hasContentIssue false

29 - Computational Morphology

from Part VI - Domains for the Evaluation of Morphological Theories

Published online by Cambridge University Press:  21 January 2017

Andrew Hippisley
Affiliation:
University of Kentucky
Gregory Stump
Affiliation:
University of Kentucky
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alam, Yokiko Sasaki. 1983. A two-level morphological analysis of Japanese. Texas Linguistic Forum 22, 229–52.Google Scholar
Al-Najem, Salah R. 2007. Inheritance based approach to Arabic verbal root and pattern morphology. In Soudi, Abdelhadi, Neumann, Günter, and Van den Bosch, Antal (eds.), Arabic Computational Morphology: Knowledge-based and Empirical Methods, 6788. Dordrecht: Kluwer/Springer.CrossRefGoogle Scholar
Barg, Petra. 1996. Automatic inference of DATR theories. In Bock, H.-H. and Polasek, W. (eds.), Data Analysis and Information Systems: Statistical and Conceptual Approaches, 506–15. Heidelberg: Springer.Google Scholar
Bird, Steven, and Klein, Ewen. 1990. Phonological Events. Journal of Linguistics 26.01, 3356.CrossRefGoogle Scholar
Brown, Dunstan. 1998. The General and the Exceptional in Russian Nominal Morphology. Ph.D. dissertation, University of Surrey.Google Scholar
Brown, Dunstan, and Hippisley, Andrew. 1994. Conflict in Russian genitive plural assignment: A solution represented in DATR. Journal of Slavic Linguistics 2.1, 4876.Google Scholar
Brown, D., and Hippisley, Andrew. 2012. Network Morphology: A Defaults-based Theory of Word Structure. Cambridge University Press.CrossRefGoogle Scholar
Buckwalter, Tim. 2001. Arabic Transliteration. www.qamus.org/transliteration.htm (accessed June 21, 2015).Google Scholar
Buckwalter, Tim. 2004. Buckwalter Arabic Morphological Analyzer Version 2.0 LDC2004L02. Web Download. Philadelphia: Linguistic Data Consortium.Google Scholar
Cahill, Lynne 2007. A syllable-based account of Arabic morphology. In Soudi, Abdelhadi, Neumann, Günter, and Van den Bosch, Antal (eds.), Arabic Computational Morphology: Knowledge-based and Empirical Methods, 4566. Dordrecht: Kluwer/Springer.CrossRefGoogle Scholar
Cahill, Lynne. 2010. A syllable-based approach to verbal morphology in Arabic. In LREC10 Workshop on Semitic Languages, 1926. Malta: European Language Resources Association (ELRA).Google Scholar
Cahill, Lynne, and Gazdar, Gerald. 1999. German noun inflection. Journal of Linguistics 35.1, 142.CrossRefGoogle Scholar
Cavalli-Sforza, Violetta, and Soudi, Abdelhadi. 2007. Arabic Computational Morphology: A trade-off between multiple operations and multiple stems. In Soudi, Abdelhadi, Neumann, Günter, and Van den Bosch, Antal (eds.), Arabic Computational Morphology: Knowledge-based and Empirical Methods, 89114. Dordrecht: Kluwer/Springer.CrossRefGoogle Scholar
Chomsky, Noam. 1957. Syntactic Structures, The Hague: Mouton.CrossRefGoogle Scholar
Chomsky, Noam. 1965. Aspects of the Theory of Syntax, Cambridge, MA: MIT Press.Google Scholar
Chomsky, Noam. 1970. Remarks on nominalization. In Jacobs, R. and Rosenbaum, P. (eds.), Readings in English Transformational Grammar, 184221. Waltham, MA: Ginn.Google Scholar
Clark, Alex. 2002. Memory-based learning of morphology with stochastic transducers. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 513–20. Morristown, NJ: Association for Computational Linguistics.Google Scholar
Cunningham, Hamish; Maynard, Diana, Bontcheva, Kalina, Tablan, Valentin, Aswani, Niraj, Roberts, Ian, Gorrell, Genevieve, Funk, Adam, Roberts, Angus, Damljanovic, Danica, Heitz, Thomas, Greenwood, Mark A., Saggion, Horacio, Petrak, Johann, Li, Yaoyong, and Peters, Wim. 2011. Text Processing with GATE (Version 6). University of Sheffield Department of Computer Science.Google Scholar
De Pauw, Gu; De Schryver, Gilles-Maurice, and van de Loo, Janneke. 2012. Resource-light Bantu part-of-speech tagging. In Proceedings of the Workshop on Language Technology for Normalisation of Less-resourced Languages (SaLTMiL 8—AfLaT 2012), 8592. European Language Resources Association (ELRA).Google Scholar
Dichy, Joseph, and Farghaly, Ali. 2007. Grammar-lexis relations in the computational morphology of Arabic. In Soudi, Abdelhadi, Neumann, Günter, and Van den Bosch, Antal (eds.), Arabic Computational Morphology: Knowledge-based and Empirical Methods, 115–40. Dordrecht: Kluwer/Springer.Google Scholar
Elwell, Robert. 2008. Finite State methods for Bantu morphology. In Gaylord, Nicholas, Hilderbrand, Stephen, Lyu, Heeyoung, Palmer, Alexis, and Ponvert, Elias (eds.), Texas Linguistics Society 10: Computational Linguistics for Less-studied Languages. Standford: CSLI.Google Scholar
Evans, Roger. 2013. The extended lexicon: Language processing as lexical description In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP), Hissar, Bulgaria, September 7–13. INCOMA.Google Scholar
Evans, Roger, and Gazdar, Gerald. 1996. DATR: A language for lexical knowledge representation. Computational Linguistics 22.2, 167216.Google Scholar
Evans, Roger; Piwek, Paul, Cahill, Lynne, and Tipper, Neil. 2008. Natural language processing in CLIME, a multilingual legal advisory system. Natural Language Engineering 14, 101–32.CrossRefGoogle Scholar
Fraser, Norman, and Corbett, Greville. 1997. Defaults in Arapesh. Lingua 103, 2557.CrossRefGoogle Scholar
Gaizauskas, Robert; Cahill, Lynne J., and Evans, Roger. 1992. POETIC: A system for gathering and disseminating traffic information. Proceedings of the International Conference on Artificial Intelligence Applications in Transportation Engineering, San Buenaventura, California, June. Irvine, CA: Institute of Transportation Studies.Google Scholar
Garside, R., and Smith, N. 1997. A hybrid grammatical tagger: CLAWS4. In Garside, R., Leech, G., and McEnery, A. (eds.), Corpus Annotation: Linguistic Information from Computer Text Corpora, 102–21. London: Longman.CrossRefGoogle Scholar
Goldsmith, John. 2000. Linguistica: An automatic morphological analyser. In Okrent, Arika and Boyle, John (eds.), Proceedings from the Main Session of the Chicago Linguistic Society’s 36th Meeting, 125–39. Chicago Linguistic Society.Google Scholar
Goldsmith, John. 2001. Unsupervised learning of the morphology of a natural language. Computational Linguistics 27, 153–98.CrossRefGoogle Scholar
Goldsmith, John. 2006. An algorithm for the unsupervised learning of morphology. Natural Language Engineering 12.4, 353–71.CrossRefGoogle Scholar
Grishman, Ralph, and Sundheim, Beth. 1996. Message Understanding Conference - 6: A Brief History. In Proceedings of the 16th International Conference on Computational Linguistics (COLING), Copenhagen, Denmark, 466–71. International Committee on Computational Linguistics.Google Scholar
Habash, Nizar. 2010. An Introduction to Arabic Natural Language Processing. San Rafael: Morgan and Claypool.CrossRefGoogle Scholar
Hafer, Margaret A., and Weiss, Stephen F.. 1974. Word segmentation by letter successor varieties. Information Storage and Retrieval 10.11–12, 371–85.CrossRefGoogle Scholar
Harris, Zellig. 1955. From phoneme to morpheme. Language 31.2, 190222.CrossRefGoogle Scholar
Hausser, R. 1996. Linguistische Verifikation: Dokumentation zur Ersten Morpholympics. Tübingen: Niemeyer.Google Scholar
Herring, Jon 2006. Orthography in Inheritance Lexicons. Ph.D. dissertation, University of Brighton.Google Scholar
Hurskainen, Arvi. 1992. A two-level computer formalism for the analysis of Bantu morphology: An application to Swahili. Nordic Journal of African Studies 1.1, 87119.Google Scholar
Kaplan, Ron, and Kay, Martin. 1981. Phonological rules and finite state transducers. Paper read at the Annual Meeting of the Linguistic Society of America in New York City.Google Scholar
Karttunen, Lauri, and Wittenburg, Kent. 1983. A two-level analysis of English. Texas Linguistic Forum 22, 217–28.Google Scholar
Kartunnen, Lauri; Koskenniemi, Kimmo, and Kaplan, Ron. 1987. A compiler for two-level phonological rules. In Dalrymple, Mary, Kaplan, Ronald M., Karttunen, Lauri, Koskenniemi, Kimmo, Shaio, Sami, and Wescoat, Michael T. (eds.), CSLI Report No. 87-108, Center for the Study of Language and Information, Stanford University.Google Scholar
Kay, Martin. 1987. Non-concatenative finite-state morphology. In Proceedings of 3rd Conference of The European Chapter of the Association for Computational Linguistics (EACL), Copenhagen, Denmark, 210. International Committee on Computational Linguistics.Google Scholar
Khaliq, Bilal, and Carroll, John 2013. Unsupervised induction of Arabic root and pattern lexicons using machine learning. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), Hissar, Bulgaria, 350–6. INCOMA.Google Scholar
Koskenniemi, Kimmo. 1983. A Two-level Morphological Processor. Ph.D. dissertation, University of Helsinki.Google Scholar
Kurimo, Mikko; Virpioja, Sami, Turunen, Ville, and Lagus, Krista. 2010. Morpho Challenge competition 2005–2010: Evaluations and results. In Proceedings of the 11th Meeting of the ACL-SIGMORPHON, ACL 2010, Uppsala, Sweden, 15 July, 8795. International Committee on Computational Linguistics.Google Scholar
Luengen, Harald 1992. A DATR Description of Turkish Noun Inflection. Unpublished paper. University of BielefeldGoogle Scholar
Lun, S. 1983. A two-level morphological analysis of French. Texas Linguistic Forum 22, 271–8.Google Scholar
McCarthy, John. 1981. A prosodic theory of non-concatenative morphology. Linguistic Inquiry 12, 373418.Google Scholar
Oliver, Antoni; Castellón, Irene, and Màrquez, Luís. 2003. Automatic lexical acquisition from raw corpora: An application to Russian. In Proceedings of the 2003 EACL Workshop on Morphological Processing of Slavic Languages, Budapest, Hungary, 1724. International Committee on Computational Linguistics.Google Scholar
Petrie, Helen; Jones, Sarah Rees, Power, Christopher, Evans, Roger, Cahill, Lynne, Knobbe, Arno, Gervers, Michael, Sutherland-Harris, Robin, Kosto, Adam, and Crump, Jon. 2013. ChartEx: A project to extract information from the content of medieval charters and create a virtual workbench for historians to work with this information. Paper presented at Digital Humanities 2013, Lincoln, Nebraska, July 2013.Google Scholar
Sagot, Benoît. 2007. Automatic acquisition of a Slovak lexicon from a raw corpus. In Matoušek, V. and Mautner, P. (eds.), Proceedings of Text, Speech and Dialogue, 156–63. Berlin and Heidelberg: Springer.Google Scholar
Sagot, Benoît. 2009. Building a morphosyntactic lexicon and a pre-syntactic processing chain for Polish. In Zygmunt Vetulani and Hans Huszkoreit (eds.), Language and Technology Conference, Poznań, Poland (2007), Lecture Notes in Computer Science; Human Language Techology: Challenges of the Information Society. Berlin and Heidelberg: Springer.CrossRefGoogle Scholar
Santos, Diana; Costa, Luís, and Rocha, Paulo. 2003. Cooperatively evaluating Portuguese morphology. In Mamede, Nuno J., Baptista, Jorge, Trancoso, Isabel, and Nunes, Maria das Graças Volpe (eds.), Computational Processing of the Portuguese Language, 6th International Workshop, PROPOR 2003, Faro, 26–27 June, 259–66. Berlin and Heidelberg: Springer.Google Scholar
Soudi, Abdelhadi; Neumann, Günter, and Van den Bosch, Antal (eds.) 2007. Arabic Computational Morphology: Knowledge-based and Empirical Methods. Dordrecht: Kluwer/Springer.CrossRefGoogle Scholar
Spencer, Andrew. 2000. Inflection and the lexeme. Acta Linguistica Hungarica 47. 1–4, 335–44.CrossRefGoogle Scholar
Sproat, Richard, and Emerson, Thomas. 2003. The First International Chinese Word Segmentation Bakeoff. Proceedings of the Second SIGHAN Workshop on Chinese Language Processing, Sapporo, Japan, 133–43. Association for Computational Linguistics.Google Scholar
Wong, Kam-Fai; Li, Wenji, Xu, Ruifeng, and Zhang, Zheng-sheng. 2009. Introduction to Chinese Natural Language Processing. San Rafael: Morgan and Claypool.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×