Paper Info
Title
A finite state and data-oriented method for grapheme to phoneme conversion
Abstract
A finite-state method, based on leftmost longestmatch replacement, is presented for segmenting words into graphemes, and for converting graphemes into phonemes. A small set of hand-crafted conversion rules for Dutch achieves a phoneme accuracy of over 93%. The accuracy of the system is further improved by using transformation-based learning. The phoneme accuracy of the best system (using a large rule and a 'lazy' variant of Brill's algoritm), trained on only 40K words, reaches 99%.
Year
Venue
Keywords
2000
north american chapter of the association for computational linguistics
finite-state method,data-oriented method,small set,transformation-based learning,large rule,hand-crafted conversion rule,phoneme accuracy,leftmost longestmatch replacement,finite state,best system
DocType
Volume
ISSN
Conference
cs.CL/0003074
Proceedings of NAACL-2000, Seattle, WA
Citations 
PageRank 
References 
5
0.64
12
Authors
1
Name
Order
Citations
PageRank
Gosse Bouma148370.88