Quantifying the Use of English Words in Urdu News-Stories

Mehtab Alam Syed, Arif Ur Rahman, Muzammil Khan
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引用次数: 2

Abstract

The vocabulary of Urdu language is a mixture of many other languages including Farsi, Arabic and Sinskrit. Though, Urdu is the national language of Pakistan, English has the status of official language of Pakistan. The use of English words in spoken Urdu as well as documents written in Urdu is increasing with the passage of time.The automatic detection of English words written using Urdu script in Urdu text is a complicated task. This may require the use of advanced machine/deep learning techniques. However, the lack of initial work for developing a fully automatic system makes it a more challenging task. The current paper presents the result of an initial work which may lead to the development of an approach which may detect any English word written Urdu text. First, an approach is developed to preserve Urdu stories from online sources in a normalized format. Second, a dictionary of English words transliterated into Urdu was developed. The results show that there can be different categories of words in Urdu text including transliterated words, words originating from English and words having exactly similar pronunciation but different meaning.
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乌尔都语新闻故事中英语词汇使用的量化
乌尔都语的词汇是许多其他语言的混合物,包括波斯语,阿拉伯语和辛斯克里特语。虽然乌尔都语是巴基斯坦的国家语言,但英语具有巴基斯坦官方语言的地位。随着时间的推移,英语单词在乌尔都语口语和乌尔都语书面文件中的使用越来越多。乌尔都语文本中使用乌尔都语书写的英语单词的自动检测是一项复杂的任务。这可能需要使用先进的机器/深度学习技术。然而,缺乏开发全自动系统的初始工作使其成为一项更具挑战性的任务。当前的论文提出了一项初步工作的结果,这可能导致一种方法的发展,这种方法可以检测任何英语单词书面乌尔都语文本。首先,开发了一种方法,以标准化格式保存在线来源的乌尔都语故事。其次,编写了一本将英语单词音译成乌尔都语的词典。结果表明,乌尔都语文本中存在不同类别的词,包括音译词、原英语词和发音相近但意义不同的词。
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