Morphological segmentation for keyword spotting

Karthik Narasimhan, Damianos Karakos, Richard Schwartz, Stavros Tsakalidis, Regina Barzilay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

We explore the impact of morphological segmentation on keyword spotting (KWS). Despite potential benefits, stateof- The-art KWS systems do not use morphological information. In this paper, we augment a state-of-the-art KWS system with sub-word units derived from supervised and unsupervised morphological segmentations, and compare with phonetic and syllabic segmentations. Our experiments demonstrate that morphemes improve overall performance of KWS systems. Syllabic units, however, rival the performance of morphological units when used in KWS. By combining morphological, phonetic and syllabic segmentations, we demonstrate substantial performance gains.

Original languageEnglish (US)
Title of host publicationEMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages880-885
Number of pages6
ISBN (Electronic)9781937284961
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 - Doha, Qatar
Duration: Oct 25 2014Oct 29 2014

Publication series

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

Other

Other2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014
CountryQatar
CityDoha
Period10/25/1410/29/14

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Information Systems

Fingerprint Dive into the research topics of 'Morphological segmentation for keyword spotting'. Together they form a unique fingerprint.

  • Cite this

    Narasimhan, K., Karakos, D., Schwartz, R., Tsakalidis, S., & Barzilay, R. (2014). Morphological segmentation for keyword spotting. In EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 880-885). (EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/d14-1095