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A Biologically Motivated Connectionist System for Predicting the Next Word in Natural Language Sentences

机译：一种生物学激励的联结系统，用于预测自然语句中的下一个词

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João Luís; Garcia Rosa; Mestrado Sistemas; Computação Puc-campinas; Mestrado Em Informática Unisantos;
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年度 2008
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1. Mapping sensorimotor sequences to word sequences: A connectionist model of language acquisition and sentence generation [J] . Takac M., Benuskova L., Knott A. Cognition: International Journal of Cognitive Psychology . 2012,第2期

机译：将感觉运动序列映射到单词序列：语言习得和句子生成的连接模型
2. Biologically Plausible Connectionist Prediction of Natural Language Thematic Relations [J] . Jo?o Luis Garcia Rosa, Juan Manuel Adan-Coello Journal of Universal Computer Science . 2010,第21期

机译：自然语言主题关系的生物学上可行的连接主义预测
3. A Natural Language Sentence Analysis Algorithm Based on Word Order Modifier Syntax Rules [J] . Ji Kang Jia, Yu Bin Shao, Hua Long, Procedia Computer Science . 2020,第5期

机译：一种基于Word Order修改器语法规则的自然语言句子分析算法
4. A biologically motivated connectionist system for predicting the next word in natural language sentences [C] . Joao Luis Garcia Rosa IEEE Interantional Conference on Systems, Man and Cybernetics . 2002

机译：一种生物激励的连接主义系统，用于预测自然语言句子中的下一个单词
5. Learning the thematic roles of words in sentences via connectionist networks that satisfy strong systematicity. [D] . Geranmayeh, Parastoo. 2013

机译：通过满足强大系统性的连接主义网络学习句子中单词的主题作用。
6. BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences [O] . K.E. Ravikumar, Majid Rastegar-Mojarad, Hongfang Liu 2017

机译：BELMiner：调整基于规则的关系提取系统以从生物医学文献证据句中提取生物表达语言陈述
7. Learning the Thematic Roles of Words in Sentences via Connectionist Networks that Satisfy Strong Systematicity [O] . Geranmayeh Parastoo 2013

机译：通过满足强系统性的连接主义网络学习单词在句子中的主题作用

A Biologically Motivated Connectionist System for Predicting the Next Word in Natural Language Sentences

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