作者: L. Bahl , R. Bakis , P. Cohen , A. Cole , F. Jelinek
DOI: 10.1109/ICASSP.1980.1170862
关键词:
摘要: Further results have been obtained on the recognition of continuously read sentences from a natural language corpus laser patents. The vocabulary is limited to 1000 most frequently occurring words in corpus. Our model task has perplexity 24.1 (corresponding an entropy 4.6 bits/word). This paper describes modifications and improvements system which resulted lowering word error rate previously reported 33.1% 8.9%.