The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Uma formulação de erro de classificação mínimo baseada em algoritmo genético é proposta para treinamento discriminativo do modelo de linguagem bigrama. Foram relatados resultados de identificação do dialeto chinês que demonstram melhoria de desempenho com o uso do algoritmo genético em relação ao algoritmo de descida probabilística generalizada.
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Wuei-He TSAI, Wen-Whei CHANG, "Chinese Dialect Identification Based on Genetic Algorithm for Discriminative Training of Bigram Model" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 12, pp. 2183-2185, December 2000, doi: .
Abstract: A minimum classification error formulation based on genetic algorithm is proposed for discriminative training of the bigram language model. Results of Chinese dialect identification were reported which demonstrate performance improvement with use of the genetic algorithm over the generalized probabilistic descent algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_12_2183/_p
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@ARTICLE{e83-d_12_2183,
author={Wuei-He TSAI, Wen-Whei CHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Chinese Dialect Identification Based on Genetic Algorithm for Discriminative Training of Bigram Model},
year={2000},
volume={E83-D},
number={12},
pages={2183-2185},
abstract={A minimum classification error formulation based on genetic algorithm is proposed for discriminative training of the bigram language model. Results of Chinese dialect identification were reported which demonstrate performance improvement with use of the genetic algorithm over the generalized probabilistic descent algorithm.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Chinese Dialect Identification Based on Genetic Algorithm for Discriminative Training of Bigram Model
T2 - IEICE TRANSACTIONS on Information
SP - 2183
EP - 2185
AU - Wuei-He TSAI
AU - Wen-Whei CHANG
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2000
AB - A minimum classification error formulation based on genetic algorithm is proposed for discriminative training of the bigram language model. Results of Chinese dialect identification were reported which demonstrate performance improvement with use of the genetic algorithm over the generalized probabilistic descent algorithm.
ER -