Search from the Journals, Articles, and Headings
Advanced Search (Beta)
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...

یہ بھی وقت تھا

یہ بھی وقت تھا

یہ بھی ایک وقت تھا ہماری مائیں ہماری بہنیں عید سے پہلے ہماری رہائی کے لیے مظاہر ے کیا کرتی تھیں ہماری مائیں بھی کسی میکسم گورکی کی ماں سے کم نہیں تھیں ۔

آج حالات اس سے بدتر ہیں اب تو سیاسی قیدیوں کو غائب ہی کر دیا جا تا ہے مصطفی کانجو کو غائب کیے ہوئے پانچ مہینے ہو گئے ابھی تک کچھ پتہ نہیں کہ زندہ بھی ہے کہ نہیں۔ تصویر میں میری ماں شیخ عبدالقیوم کی بھتیجیاں اور دبنگ جیالی خالی سکینہ بادشاہ مرحومہ نمایاں ہیں جن کی بیٹی کی وڈیونیب ہیڈکواٹر کے باہر پولیس سے دست بدست لڑتے ہوئے وائرل ہوئی تھی ۔1986ء کمیٹی چوک راولپنڈی

 

Challenges of Translating the Arabic Qur’an into English A Comparative Study of Eight Leading Translations

Any translation of the Arabic Qur’an in English or any European language is likely to be imperfect. This is primarily due to the differences in the language, semantics, idiom, style and culture. Almost fifty such translations have appeared in the last fifty years, both by Muslim and other scholars, but none can claim any perfection in imaging the Arabic Qur’an. Nevertheless, there are some that are faithful to word-by-word (literal) or sense-for-sense (free) translation, but most lack the flavor of the Qur’anic essence and image either due to the translating approach, or inadequate understanding of the meaning of Sacred Arabic Text, or constraints of eloquence of the English language. This paper examines eight of the leading translations and draws conclusions relating to the use of translation techniques and literary devices and concepts that add beauty to the eloquence of Arabic Qur’an and makes it a living and literary masterpiece. It is found that the meaning of the lexical expressions have been maintained to a high degree in the process of translation and the use of literary devices has been adequately captured by the selected translations.

Opinion Mining Using Fuzzy Classifier for Cell Phone Brands Review of Twitter Data

Product reviews have now become a key to business intelligence. All the products available online now provide a customer review and rating of their products for quick decisions and comparisons. Apps, software, products and even websites are reviewed by the customer for their rating among a variety of other products. Different blogs and websites like ?WhatMobile?, and ?gsmarena? use formal ways to review like survey forms and star rating. Social media is being used for sharing personal experiences with different products and these public reviews also play an important part in the business performance. Sentiment Analysis is a way of recognizing and classifying opinions spoken in a piece of text, particularly in order to check the user''s behavior about some matter, item or issue. This study is based on the extraction of reviews tweeted by the twitter users about their mobiles. This study highlighted the way of expressing their views in a good way by analyzing their comment and mining the opinion. E-trade and social media have changed the level of online customers and it is a regular practice for them to look at the rating of items before making a buy. For this study, Twitter Social media data set is used for getting user opinion from this free social media site as Twitter is a social media microblogging platform of users for sharing views through text containing emoticons and hashtags. This study recommends fuzzy classification of opinion mining system that is mostly binary but this work showed multilevel sentiment analysis of user tweets. Sentiment analysis was a stepwise process that included preprocessing, Part of Speech (POS) tagging, separating these parts as per our requirement, and finally showing the polarity of that sentence by using fuzzy logic approach. The proposed strategy broadens the feature-based arrangement approach and also specifies the strength of emotions related to the tweets by using modifiers, emoji, and concentrators. This research work used the Fuzzy classifier in a deeper sense by depicting the opinion in these 5 levels i.e. excellent, good, average, bad, and very bad. This 5 level fuzzy classification enhanced the vision of opinion more clear and accurate than bipolar opinion.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.