Morphological segmentation for keyword spotting

EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2014, Pages 880-885

  Narasimhan, Karthik ^a   Karakos, Damianos ^b   Schwartz, Richard ^b   Tsakalidis, Stavros ^b   Barzilay, Regina ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BBN TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS;

KEYWORD SPOTTING; MORPHOLOGICAL INFORMATION; MORPHOLOGICAL SEGMENTATION; PERFORMANCE GAIN; POTENTIAL BENEFITS; STATE OF THE ART; SUB-WORD UNITS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84926052215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/d14-1095     Document Type: Conference Paper

References (19)

1. IARPA Babel. 2013. Language collection releases; Turkish: IARPA-babel105b-v0.4, Assamese: IARPA-babel102b-v0.5a, Bengali: IARPAbabel103b- 0.4b, Haitian Creole: IARPA-babel201bv0.2b, Lao: IARPA-babel203b-v3.1a, Tamil: IARPA-babel204b-v1.1b, Zulu: IARPA-babel206bv0.1e.
2. Ivan Bulyko, Owen Kimball, Man-Hung Siu, Jos̈e Herrero, and Dan Blum. 2012. Detection of unseen words in conversational Mandarin. In Proc. of ICASSP, Kyoto, Japan, Mar.
3. Victor Chahuneau, Eva Schlinger, Noah A. Smith, and Chris Dyer. 2013a. Translating into morphologically rich languages with synthetic phrases. In EMNLP, pages 1677-1687. ACL.
4. Victor Chahuneau, Noah A. Smith, and Chris Dyer. 2013b. Knowledge-rich morphological priors for bayesian language models. In HLT-NAACL, pages 1206-1215. The Association for Computational Linguistics.
5. Çəgri Çöltekin. 2010. A freely available morphological analyzer for Turkish. In Proceedings of the 7th International conference on Language Resources and Evaluation (LREC2010), pages 820- 827.
6. Mathias Creutz and Krista Lagus. 2005. 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), pages 106-113.
7. Chris Dyer. 2009. Using a maximum entropy model to build segmentation lattices for MT. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL '09, pages 406-414, Stroudsburg, PA, USA. Association for Computational Linguistics.
8. Jonathan G. Fiscus, Jerome Ajot, John S. Garofolo, and George Doddington. 2007. Results of the 2006 spoken term detection evaluation. In Workshop on Searching Spontaneous Conversational Speech.
9. Nizar Habash. 2008. Four techniques for online handling of out-of-vocabulary words in arabic-english statistical machine translation. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers, HLT-Short '08, pages 57-60, Stroudsburg, PA, USA. Association for Computational Linguistics.
10. Martin Karafíat, FrantѤsek Gŕezl, Mirko Hannemann, Karel Veseĺy, Igor Szoke, and Jan "Honza" Č ernocký. 2014. BUT 2014 Babel system: Analysis of adaptation in NN based systems. In Proceedings of Interspeech 2014, Singapore, September. IEEE.
11. Damianos Karakos and Richard Schwartz. 2014. Subword modeling. In IARPA Babel PI Meeting, July.
12. Damianos Karakos, Richard Schwartz, Stavros Tsakalidis, Le Zhang, Shivesh Ranjan, Tim Ng, Roger Hsiao, Guruprasad Saikumar, Ivan Bulyko, Long Nguyen, John Makhoul, Frantisek Grezl, Mirko Hannemann, Martin Karafiat, Igor Szoke, Karel Vesely, Lori Lamel, and Viet-Bac Le. 2013. Score normalization and system combination for improved keyword spotting. In Proc. ASRU 2013, Olomouc, Czech Republic.
13. Katrin Kirchhoff, Dimitra Vergyri, Jeff Bilmes, Kevin Duh, and Andreas Stolcke. 2006. Morphologybased language modeling for conversational arabic speech recognition. Computer Speech and Language, 20(4):589-608.
14. Canasai Kruengkrai, Virach Sornlertlamvanich, and Hitoshi Isahara. 2006. A conditional random field framework for Thai morphological analysis. In LREC.
15. Taku Kudo, Kaoru Yamamoto, and Yuji Matsumoto. 2004. Applying conditional random fields to Japanese morphological analysis. In In Proc. of EMNLP, pages 230-237.
16. Kevin Lenzo. 1998. Text-to-phoneme converter builder. http://www.cs.cmu.edu/afs/cs.cmu.edu/user/lenzo/html/areas/t2p/. Accessed: 2014-03-11.
17. Teemu Ruokolainen, Oskar Kohonen, Sami Virpioja, and Mikko Kurimo. 2013. Supervised morphological segmentation in a low-resource learning setting using conditional random fields. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 29-37, Sofia, Bulgaria, August. Association for Computational Linguistics.
18. David Stallard, Jacob Devlin, Michael Kayser, Yoong Keok Lee, and Regina Barzilay. 2012. Unsupervised morphology rivals supervised morphology for Arabic MT. In ACL (2), pages 322-327. The Association for Computer Linguistics.
19. Stavros Tsakalidis. 2014. The Babelon OpenKWS14 systems. In IARPA Babel PI Meeting, July.