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首页> 外文期刊>Network Daily News >New Artificial Intelligence Study Findings Recently Were Published by a Researcher at Fuzhou University of International Studies and Trade (Construction of an Artificial Intelligence Writing Model for English Based on Fusion Neural Network Model)
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New Artificial Intelligence Study Findings Recently Were Published by a Researcher at Fuzhou University of International Studies and Trade (Construction of an Artificial Intelligence Writing Model for English Based on Fusion Neural Network Model)

机译:新的人工智能研究的发现最近被福州研究员发表大学的国际研究和贸易(建设一个人工智能基于融合的神经模型英语写作网络模型)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on artificial intelligence have been presented. According to news originating from Fujian, People’s Republic of China, by NewsRx correspondents, research stated, “This paper presents an in-depth study and analysis of the model of English writing using artificial intelligence algorithms of neural networks.” The news reporters obtained a quote from the research from Fuzhou University of International Studies and Trade: “Based on word vectors, the unsupervised disambiguation, and clustering of multimedia contexts extracted from massive online videos, the disambiguation accuracy reaches over 0.7, and the resulting smallscale multimedia context set can cover up to 90% of vocabulary learning tasks; user experiments show that the multimedia context learning system based on this method can improve the effectiveness and experience of ESL vocabulary learning, as well as the long-term word sense memory of learners. The results are 30% better. Based on the dependency grammatical relations and semantic metrics of collocations on a largescale professional corpus, we established a collocation intention description and retrieval method in line with users’ linguistic cognition and doubled the usage rate of collocation retrieval on the actual deployment system after half a year, becoming a user “sticky” ESL writing aid, and further defined style. Dictionaries only provide basic lexical definitions, and, even if supported by example sentences, they still cannot meet the needs of ESL authors in terms of expressive accuracy and richness.”
机译:由一个新闻记者在网络新闻编辑每日新闻-数据详细的人工情报已经提出。新闻来自福建,人民共和国NewsRx记者,中国的研究说:“这篇论文提供了一个深入的研究分析英语写作的典范使用人工智能算法神经网络。”引用的研究从福州大学国际研究和贸易:“基于词向量,无人监督的消歧,集群多媒体的环境中提取大量的在线视频,消歧精度达到了0.7,以及由此产生的小型件多媒体上下文设置可以掩盖词汇学习任务的90%;实验表明,多媒体环境基于这种方法可以提高学习系统英语的效果和经验词汇学习,以及长期的单词学习者的记忆。30%更好。关系和语义搭配的指标大规模的专业语料库,我们建立了搭配意图描述和检索方法符合用户的语言认知和搭配的使用率增加了一倍检索后的实际部署系统半年,成为用户的“粘性”英语写作援助,进一步定义风格。提供基本词汇的定义,而且,即使支持的例句,他们仍然不能满足英语作者的表达的准确性和丰富性。”

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    《Network Daily News》 |2022年第3期|71-72|共2页
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  • 正文语种 英语
  • 中图分类 TP-778;
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