1) Group-analyzing mnemonics
分析组块记忆法
2) Initial group mnemonics
词首组块记忆法
3) Word-meaning group mnemonics
词义组块记忆法
4) chunk memory strategies
组块记忆策略
1.
According to the theory of contemporary cognitive psychology,this paper concretely discusses how to apply the chunk memory strategies into vocabulary learning of college English during the present time,so as to help learner improve the effectiveness of vocabulary memory and cultivate learner\'s vocabulary competence.
根据现代认知心理学的理论,具体探讨如何将组块记忆策略运用到当今大学英语词汇学习中去,从而帮助学习者有效地提高词汇记忆的效率,培养其词汇应用能力。
5) chunking
组块分析
1.
A new method to solve Chinese text chunking was introduced as conditional random fields (CRF) model, by which Chinese text chunking transformed into labeling the words with their chunk tags and establishing a model for tagged corpus according to conditional random fields so as to predict the chunk tag of each word.
提出一种基于条件随机域模型的方法用于中文文本组块分析。
6) chunk parsing
组块分析
1.
Based on the structure feature of the question,machine learning and chunk parsing theory,an approach for question chunk parsing using neural networks is implemented.
在中文问句的结构特点基础上,结合机器学习及组块分析理论,对问句进行组块分析,实现了基于神经网络的问句组块识别算法,并应用于银行领域自动问答系统中。
2.
This paper proposes to use Maximum Entropy (ME) model to conduct Chinese chunk parsing.
采用最大熵模型实现中文组块分析的任务 。
3.
The chunk parsing is a language processing strategy which recently appears in the natural language processing research area.
组块分析是自然语言的处理研究领域中新近出现的一个语言处理策略,它能有效降低句法分析的难度。
补充资料：容量分析法(见化学分析法)
容量分析法(见化学分析法)
容t分析法见化学分析法
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条