The existing approaches to find similarities has drawback when the archives contain low-resourced languages like Urdu along with English news articles.

The existing approaches to find similarities has a major drawback when the archives contain articles of low-resourced languages like Urdu along with English news article. In this article, we propose a Machine Learning model with the combination of English Urdu word transliteration which will show whether the English news article is similar to the Urdu news article or not. It is difficult to find similar news articles in a different language other than the native language of user, there is a need for a Machine Learning based automatic system to find the similarity between two inter-language news articles. The present study aims at filling this gap by investigating the ambiguities caused by English to Urdu Transliteration.įinding similarities between two inter-language news articles is a challenging problem of Natural Language Processing (NLP). The phonetic harmony of the words should be given special attention while transliterating from one language to another. Urdu is a syllable timed language and English is a stress timed language. Errors are found because of the missing diacritical marks and owing to the pronunciation difference of both the languages (Urdu and English) i.e. the word 'oil' is transliterated as ' ' /aIl / which is the transcription of the word 'isle' 'year'/ji / is transliterated in Urdu as ' ' /i r/ which is the transcription of the word 'ear' and 'form' as ' ' /fa:r m/ which becomes 'farm' with an additional / / sound. Each language has its own phonological features which have their impact on learning the pronunciation of target language e.g. Orthography of a language does not indicate tone of the language. Transliteration can also be used to understand how words are pronounced. The mixing of English words in Urdu is increasing day by day. Urdu is written from right to left in Nastaleeq script whereas English is written from left to right. English to Urdu transliteration creates ambiguities in the pronunciation of English words. There is no one to one correspondence between English and Urdu vowels in most of the cases. Urdu Orthography and transliteration play a key role in learning the pronunciation of English words. Vowels play an important role in the process of Transliteration. Transliteration can be defined as one to one mapping from one language writing system into another language.

English to urdu transliteration