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2 学术论文的语言特点
一.长短句的结合
重要论点或技术性很强的信息---短句
几个长句+一个短句的节奏
二.人称的使用
I------We
We believe, We recommend, We propose
三.主动-被动
We prove that the results reflect the…
Revised: It is proved that the results reflect the…
避免使用you
You can see from the results in Figure 1,…
Revised: As is shown in Figure 1,…
四. 选择更加正式的语言表达
A.正式的形容词
a lot, many ---numerous, various, …
例:There are many different reasons.
Revised: There are numerous reasons.
对于方法的评价语言必然涉及到的形容词:
少用good,bad,great, nice, poor,寻求更加书面的表达
描述研究的“好”和“坏”的正式形容词归纳:
Positive Negative
innovative flawed
significant unsatisfactory
rigorous thin
impressive sloppy
remarkable unwarranted
elegant limited
B. 正式的副词
Very--- highly, extremely, quite, rather…
C. 正式的动词
Get--- receive, obtain, achieve…
The author reported/showed/proposed/developed/
observed/demonstrated/presented……
The author contends/maintains/implied/claims……
The author
points out/notes/stresses/emphasizes/pays particular attention to……
D. 其他正式用语惯例
(1)避免使用缩写
Don’t,can’t,isn’t do not, can not, is not
(2)否定形式的否定句 肯定形式的否定句
does not, do not, have not, can not…
fail, miss, lack, neglect, deny, far from…
(3)避免不确定的语言
etc.
标题 Title
Include the topic of the study
Include the scope of the study
Make it easy to understand without reading first
Include key words to categorize and find in searches
Follow standard capitalization for your field (NOT ALL)
IEEE
Science Direct
American Mathematical Society
反例:What is memory?
Optimum Associative Neural Network Utilizing Maximum Likelihood
摘要Abstract
全文的缩影
Conference Program
Abstract 所应该包含的内容:
developed method of …
Concluding sentences
The result of the experiments indicate that …
Our work involving … proving to be encouraging.
In this paper, a new learning rule and theoretical analysis of an extended bidirectional associative
memory network (MLBAM) is presented, by using the maximum likelihood criterion based on
two well recognized and essential criteria, i.e., the convergence of the learning rule, and the noise
tolerance of this network. T
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