微文本的语音规范化

2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2015-08-25 DOI:10.1145/2808797.2809352

R. Khoury

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引用次数: 3

摘要

微文本规范化是一项挑战，即发现与社交媒体消息和帖子中使用的不寻常拼写单词相对应的英语单词。在本文中，我们提出了一种新的方法来实现这一目标，即基于拼写对英语和微文本单词进行语音渲染，并将相似的单词匹配在一起。我们提出了一种算法来学习拼写与语音的概率，并有效地搜索英语语言和匹配单词。我们的结果表明，我们的系统正确地处理了许多类型的规范化问题。

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Phonetic normalization of microtext

Microtext normalization is the challenge of discovering the English words corresponding to the unusually-spelled words used in social-media messages and posts. In this paper, we propose a novel method for doing this by rendering both English and microtext words phonetically based on their spelling, and matching similar ones together. We present our algorithm to learn spelling-to-phonetic probabilities and to efficiently search the English language and match words together. Our results demonstrate that our system correctly handles many types of normalization problems.

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来源期刊

2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

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