Abstract
This paper describes an algorithm for inferring correspondences between letters and phonemes from a large set of word spellings and their associated phonemic forms. The algorithm uses two techniques to infer correspondences: delimiting and dynamic time warping (DTW). The first technique delimits the part of the word spelling and pronunciation that cannot be aligned with the existing set of correspondences. The second technique derive correspondences from the delimited part of that word. The inferred correspondences are evaluated in terms of translation performance tested with unseen words, proper names and novel words. The translation performance is compared with those obtained using the manually-derived correspondences as the benchmark. Nonparametric statistical tests are used to establish whether the performances of inferred correspondences are significantly different from the manually-derived correspondences.
Original language | English |
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Title of host publication | ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing |
Publisher | IEEE |
Pages | 61-64 |
Number of pages | 4 |
Volume | 2 |
ISBN (Electronic) | 0780305329 |
DOIs | |
Publication status | Published - 1 Jan 1992 |
Externally published | Yes |
Event | 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco Marriott, San Francisco, United States Duration: 23 Mar 1992 → 26 Mar 1992 |
Conference
Conference | 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 |
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Country/Territory | United States |
City | San Francisco |
Period | 23/03/92 → 26/03/92 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering