Detection of Japanese Homophone Errors by a Decision List Including a Written Word as a Default Evidence

Detection of Japanese Homophone Errors by a Decision List Including a Written Word as a Default Evidence
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通过包含书面单词作为默认证据的决策列表来检测日语同音词错误

DOI:
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发表时间:
1999
期刊:
Conference of the European Chapter of the Association for Computational Linguistics
影响因子:
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通讯作者:
Hiroyuki Shinnou
Hiroyuki Shinnou
中科院分区:
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文献类型:
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作者:
Hiroyuki Shinnou

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在本文中,我们提出了一个实用的方法来检测日语文本中的日语同音字错误。由于日语文本中的同音字错误频繁发生,因此同音字错误的检测在日语校对系统中具有重要的意义。为了检测同音字错误,我们只需要解决同音字问题。我们可以使用决策表来做这件事,因为同音异义词问题相当于词义消歧问题。然而,同音异义词问题不同于词义消歧问题,因为前者可以使用书面词,而后者不能。在本文中,我们将书面文字纳入到原始的决策表,通过获得的书面文字的识别强度。改进后的决策表提高了错误检测的F测度。
In this paper, we propose a practical method to detect Japanese homophone errors in Japanese texts. It is very important to detect homophone errors in Japanese revision systems because Japanese texts suffer from homophone errors frequently. In order to detect homophone errors, we have only to solve the homophone problem. We can use the decision list to do it because the homophone problem is equivalent to the word sense disambiguation problem. However, the homophone problem is different from the word sense disambiguation problem because the former can use the written word but the latter cannot. In this paper, we incorporate the written word into the original decision list by obtaining the identifying strength of the written word. The improved decision list can raise the F-measure of error detection.