Morpho challenge evaluation by information retrieval experiments

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5706 LNCS, Issue , 2009, Pages 991-998

  Kurimo, Mikko ^a   Creutz, Mathias ^a   Turunen, Ville ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Machine learning; Morphological analysis

Indexed keywords

FINNISH; MACHINE LEARNING ALGORITHMS; MACHINE TRANSLATIONS; MACHINE-LEARNING; MORPHEME ANALYSIS; MORPHOLOGICAL ANALYSIS; REFERENCE METHOD; RELEVANCE JUDGMENT; STATISTICAL LANGUAGE MODELING; UNSUPERVISED METHOD;

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; INFORMATION RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; MACHINE DESIGN; MORPHOLOGY; NATURAL LANGUAGE PROCESSING SYSTEMS; QUERY LANGUAGES; ROBOT LEARNING; SPEECH TRANSMISSION;

LEARNING ALGORITHMS;

EID: 70549087080     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04447-2_131     Document Type: Conference Paper

References (13)

1. Bilmes, J.A., Kirchhoff, K.: Factored language models and generalized parallel backoff. In: Proceedings of the Human Language Technology, Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL), Edmonton, Canada, pp. 4-6 (2003)
2. Lee, Y.S.: Morphological analysis for statistical machine translation. In: Proceedings of the Human Language Technology, Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL), Boston, MA, USA (2004)
3. Zieman, Y., Bleich, H.: Conceptual mapping of user's queries to medical subject headings. In: Proceedings of the 1997 American Medical Informatics Association (AMIA) Annual Fall Symposium (October 1997)
4. Kurimo, M., Creutz, M., Varjokallio, M.: Morpho Challenge evaluation using a linguistic Gold Standard. In: Peters, C., Jijkoun, V., Mandl, T., Müller, H., Oard, D.W., Peñas, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 864-872. Springer, Heidelberg (2008)
5. Creutz, M., Lagus, K.: Inducing the morphological lexicon of a natural language from unannotated text. In: Proceedings of the International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR 2005), Espoo, Finland, pp. 106-113 (2005)
6. Creutz, M., Lagus, K.: Unsupervised discovery of morphemes. In: Proceedings of the Workshop on Morphological and Phonological Learning of ACL 2002, pp. 21-30 (2002)
7. Creutz, M., Lagus, K.: Unsupervised morpheme segmentation and morphology induction from text corpora using Morfessor. Technical Report A81, Publications in Computer and Information Science, Helsinki University of Technology (2005), http://www.cis.hut.fi/projects/morpho/
8. Tepper, M.: A Hybrid Approach to the Induction of Underlying Morphology. PhD thesis, University of Washington (2007)
9. Creutz, M., Linden, K.: Morpheme segmentation gold standards for finnish and english. Technical Report A77, Publications in Computer and Information Science, Helsinki University of Technology (2004), http://www.cis.hut.fi/ projects/morpho/
10. Porter, M.: An algorithm for suffix stripping. Program 14(3), 130-137 (1980)
11. Kurimo, M., Creutz, M., Varjokallio, M., Arisoy, E., Saraclar, M.: Unsupervised segmentation of words into morphemes - Challenge 2005, an introduction and evaluation report. In: PASCAL Challenge Workshop on Unsupervised segmentation of words into morphemes, Venice, Italy (2006)
12. Robertson, S., Walker, S., Jones, S., Hancock-Beaulieu, M., Gatford, M.: Okapi at TREC-3. In: Proceedings of the Third Text Retrieval Conference (TREC-3), pp. 109-126 (1994)
13. Kurimo, M., Creutz, M., Turunen, V.: Unsupervised morpheme analysis evaluation by IR experiments - Morpho Challenge 2007. In: Working Notes for the CLEF 2007 Workshop, Budapest, Hungary (2007)