Alignment Algorithms for Learning to Read Aloud
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Learning. Pages 874-878.
Abstract
A complete system of learning spelling-tophoneme conversion of English words consists of three major processes: alignment, mapping learning, and grapheme generation. Such a system can be used to construct prototypes of reading machines for English or other languages quickly and automatically. ~his. pap.er focusses on the alignment process, which IS cntical to mapping learning and grapheme generation. We present several novel alignment algorithms which learn alignment without supervision. The basic alignment algorithm is a hillclimbing algorithm. Several improvements of it are studied and tested. In addition, a method that overcomes the pitfall in hill-climbing algorithms is designed. Our best alignment algorithm produces very impressive results: only 0.5% of error rate.
@inproceedings{ijcai1997p126,
title = {Alignment Algorithms for Learning to Read Aloud},
author = {Ling, Charles X. and Wang, Handong},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {874--878},
year = {1997},
note = {Learning},
url = {https://ijcai.org/proceedings/1997/126},
}
TY - CPAPER TI - Alignment Algorithms for Learning to Read Aloud AU - Ling, Charles X. AU - Wang, Handong T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 874 EP - 878 UR - https://ijcai.org/proceedings/1997/126 ER -Copied
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