Waheed Shafiah: Literary Translation In Literature Video
What is Literary Translation SDWaheed Shafiah: Literary Translation In Literature - excited
Further information: Languages of Afghanistan and Languages of Pakistan As a national language of Afghanistan , [19] Pashto is primarily spoken in the east, south, and southwest, but also in some northern and western parts of the country. Pashto-speakers are found in other major cities of Pakistan, most notably in Karachi, Sindh. However small numbers of Pashto speakers exist in India, namely the Sheen Khalai in Rajasthan , [29] and the Pathan community in the city of Kolkata , often nicknamed the Kabuliwala "people of Kabul ". Afghanistan Pashto is one of the two official languages of Afghanistan , along with Dari Persian. King Amanullah Khan began promoting Pashto during his reign as a marker of ethnic identity and as a symbol of "official nationalism" [35] leading Afghanistan to independence after the defeat of the British Empire in the Third Anglo-Afghan War inWaheed Shafiah: Literary Translation In Literature - commit
Click to share on Pocket Opens in new window The following is an excerpt of a short story that appears in Mira Sethi's debut collection, Are You Enjoying? Sethi is an actor and writer, who grew up in Lahore. Sethi regularly appears in mainstream Pakistani drama series on television. We were sixteen when I bashed up the SUV his father bought him, my stoned face frozen in an uncomprehending smile as Zarrar Ejaz looked on in horror. He took the blame. All those hours we spent playing Street Fighter II. I think of them now as a childish rehearsal for what our lives would become. Zarrar was always Chun-Li, a vixen in a puffy blue dress, forever flipping her legs in combat. I was Blanka, the wild green man from the jungle, likely to win but not without taking major hits. Waheed Shafiah: Literary Translation In Literature.Such a model is useful in generating clarifying options.
This setting allows generated questions to be more specific and related to the target document set. In the SL stage, a single-document question generator is trained. In the RL stage, a coordinator model is trained to find optimal attention weights to align multiple single-document generators, by optimizing a reward designed to promote specificity of generated questions. We show that our model significantly outperforms several strong baselines, as measured by automatic metrics and human evaluation.]
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