NormAPI: An API for normalizing Filipino shortcut texts

N. Nocon, G. Cuevas, Darwin Magat, Peter Suministrado, C. Cheng
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引用次数: 7

Abstract

As the number of Internet and mobile phone users grow, texting and chatting have become popular means of communication. Reaching new heights, the extensive use of cellphones and Internet led into the creation of a new language, where words are transformed and made shorter using various styles. Shortcut texting is used in informal venues such as SMS, online, chat rooms, forums and posts in social networks. Huge amounts of data originating from these informal sources can be utilized for various tasks in machine learning and data analytics. As these data may be written in shortcut forms, text normalization is necessary before NLP actions such as information extraction, data mining, text summarization, opinion classification, and even bilingual translations can be fully achieved, by acting as a preprocessing stage that transforms all informal texts back to their original and more understandable forms. This paper is about NormAPI, an API for normalizing Filipino shortcut texts. NormAPI primarily intends to be used as a preprocessing system that corrects informalities in shortcut texts before they are handed for complete data processing.
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NormAPI:用于规范化菲律宾快捷文本的API
随着互联网和手机用户数量的增长,发短信和聊天已经成为流行的交流方式。手机和互联网的广泛使用达到了新的高度,导致了一种新的语言的产生,在这种语言中,单词被转换并使用各种风格变得更短。快捷短信用于非正式场合,如短信、在线、聊天室、论坛和社交网络帖子。来自这些非正式来源的大量数据可以用于机器学习和数据分析中的各种任务。由于这些数据可能以快捷形式编写,因此在信息提取、数据挖掘、文本摘要、意见分类甚至双语翻译等NLP操作完全实现之前,文本规范化是必要的。文本规范化是将所有非正式文本转换回其原始和更易于理解的形式的预处理阶段。本文是关于NormAPI,一个用于规范化菲律宾快捷文本的API。NormAPI主要打算作为一个预处理系统,在快捷文本被交付完整的数据处理之前纠正它们的非正式性。
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