Literatura científica selecionada sobre o tema "Translated into Kurdish"

Our research is to present the literary and cultural status of Mohammed Mustafa Kurdi as an educated, intellectual, educational and religious teacher. The author often used essays in Arabic literature because he had a religious and Arabic culture, and was influenced by Persian literature, so he translated essays from Persian He drew on folk literature, poetry by poets and even stories. In addition to essays, he has translated several poems from Arabic and Persian or has translated his ideas and subjects into poems and essays from a Kurdish perspective. The author has published them in the magazines (Roji Nwy, Hiwa, Blesa, Zhen, Sulaimany). In addition to several riddles, he has published poetry in most magazines and newspapers. They have become the focus of attention of scholars, which are a sign of the level of intelligence and linguistic ability, terminology and dictionary (Mohammed Mustafa Kurdi).

The development of Machine Translation (MT) systems and their application in performing translation projects gave a crucial position to the evaluation of these systems’ outputs. Recently, the Google Translate MT system added the central accent of the Kurdish language to its language list. The current study is an attempt to evaluate the acceptability of the translated texts produced by the system. Different text typologies have been considered for the study's data. To evaluate the MT outputs, the Bilingual Evaluation Understudy (BLEU) evaluation model has been administered. The findings show that the performance of the understudy MT system in the translation of English into the Sorani accent of Kurdish is affected by some linguistic and technical hindrances, which in general affect the acceptability of translated text.

Abstract Kurdish has been written in many different scripts throughout history. One of these alphabets is the Syriac alphabet. The texts written with this alphabet are called Kurdish Garshuni texts. David Barzane (Dāwíd Bareznāyā) was a 19th-century Chaldean Church clergyman and poet. The autograph manuscript containing his poems in Classical Syriac, Neo-Aramaic and Kurdish is preserved in the Collection of Syriac Manuscripts of the Dominicans of Mosul. One of the two Kurdish Garshuni poems in this manuscript has already been published with transcription and translation. In this article, another unpublished poem is transcribed and translated. However, by focusing on the literary and cultural interaction between the Christians who speak Neo-Aramaic and the Kurds, it is to be drawn attention to the close relationship between the forms of poetry and style of performance in both traditions.

The assessment of quality by the current most widely used on-line machine translation systems such as Google Translate and Bing Translator has always been a hotly debated and controversial topic. This research endeavors to assess the translation quality of the already referred to on-line machine translation systems so as to highlight the level of their inadequate quality, if any. Yet, due to the nonexistence of a unique quality assessment method as far as the translation by the two systems is concerned, the current research sets out to utilize an error analysis method for assessing the quality of the translation of two specialized texts from Kurdish into English by Google Translate and Bing Translator systems. The error analysis of the chosen texts reveals that both systems achieved excellent results in the orthography category, with 100 and 98.7 percent accuracy for Google and Bing, respectively. Additionally, results of 98.8% for Google and 97.5% for Bing concerning lexis reflected positive outcomes for both systems. Because both systems recently adopted NMT (neural machine translation), which simulates the way human brain functions to produce translation and learns from texts formerly translated by human translators, the two systems performed very well in these areas. The analysis also shows that the two selected systems were successful in the translation of the selected texts with reference to English rules of grammar achieving outstanding results that are 99.6 accuracy for Google and 99.4 for Bing. For further research, this study recommends doing more assessment on translation of more types of Kurdish texts through conducting the linguistic error analysis.