Measuring and Predicting Orthographic Associations: Modelling the Similarity of Japanese Kanji

机译：测量和预测正交关联：模拟日本汉字的相似性

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摘要

As human beings, our mental processes for recognising linguistic symbols generate perceptual neighbourhoods around such symbols where confusion errors occur. Such neighbourhoods also provide us with conscious mental associations between symbols. This paper formalises orthographic models for similarity of Japanese kanji, and provides a proof-of-concept dictionary extension leveraging the mental associations provided by orthographic proximity.

机译：作为人类，我们识别语言符号的思维过程会在这些符号周围产生感知错误，并在这些符号周围出现混乱错误。这样的社区也为我们提供了符号之间的有意识的心理联系。本文针对日本汉字的相似性对拼字法模型进行形式化，并利用拼字法邻近性提供的心理关联性提供概念证明词典扩展。

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来源
《22nd International Conference on Computational Linguistics》|2008年|1041-1048|共8页
会议地点 Manchester(GB);Manchester(GB)
作者
Lars Yencken; Timothy Baldwin;
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作者单位

NICTA Research Lab University of Melbourne;

NICTA Research Lab University of Melbourne;

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会议组织
原文格式 PDF
正文语种 eng
中图分类程序设计、软件工程;
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4. Measuring and Predicting Orthographic Associations: Modelling the Similarity of Japanese Kanji [C] . International Conference on Computational Linguistics . 2008

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5. Examining the use of computers in writing by learners of Japanese as a foreign language: Analysis of kanji in the handwritten and typed domains [D] . Dixon, Michael 2012

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7. Orthographic similarity or semantic relation? The origin of orthographic neighborhood size effects on the lexical decision to Japanese kanji words [O] . Rika Mizuno, Takao Matsui 2014

机译：正交相似或语义关系？正交邻域大小对日本汉字词的词汇决定的起源

Measuring and Predicting Orthographic Associations: Modelling the Similarity of Japanese Kanji

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