Suchergebnisse

"The current volume presents a selection of 126 texts in Uyghur posted in public spaces, translated, and annotated for this book. The author started photographing Uyghur texts in 2008 at the time of the Beijing olympics and continued to do so during 2009, the year of the so-called "Urumqi uprising" of July 5. This event generated a stream of texts posted in public spaces that reflected the efforts made by the authorities to re-establish control. In the course of his travels in the years thereafter the author continued to add to the corpus of photographed Uyghur texts. At the same time he started collecting, as comprehensively as possible, various types of folders, brochures, handouts, and product wrappings with texts illustrating aspects of Uyghur culture and society. The texts, published here for the first time, are primary source materials documenting a wide variety of aspects of daily life of the Uyghurs in Shinjang. The implicit messages or explicit references contained in many of these texts give them significance as clues towards an understanding of the existential realities they reflect or illustrate."--Provided by publisher

The Maltese-English parallel corpus MaCoCu-mt-en 1.0 was built by crawling the ".mt" internet top-level domain in 2021, extending the crawl dynamically to other domains as well. All the crawling process was carried out by the MaCoCu crawler (https://github.com/macocu/MaCoCu-crawler). Websites containing documents in both target languages were identified and processed using the tool Bitextor (https://github.com/bitextor/bitextor). Considerable efforts were devoted into cleaning the extracted text to provide a high-quality parallel corpus. This was achieved by removing boilerplate and near-duplicated paragraphs and documents that are not in one of the targeted languages. Document and segment alignment as implemented in Bitextor were carried out, and BicleanerAI (https://github.com/bitextor/bicleaner-ai) and Bifixer (https://github.com/bitextor/bifixer) were used for fixing, cleaning, and deduplicating the final version of the corpus. While the TXT format consists solely of pairs of source and target segments (one or several sentences), each segment pair in the TMX format is accompanied by the following metadata: - source and target document URL; - quality score as provided by the tool BicleanerAI; - translation direction identification: the source segment in each segment pair was identified by using a probabilistic model; - personal information identification ("biroamer-entities"): segments containing personal information are flagged, so final users of the corpus can decide whether to use these segments; - language variants: the language variant of English (British or American) was identified for every segment pair on document and domain level. Notice and take down: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please: (1) Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted. (2) Clearly identify the copyrighted work claimed to be infringed. (3) Clearly identify the material that is claimed to be infringing and information reasonably sufficient in order to allow us to locate the material. (4) Please write to the contact person for this resource whose email is available in the full item record. We will comply with legitimate requests by removing the affected sources from the next release of the corpus. This action has received funding from the European Union's Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. INEA/CEF/ICT/A2020/2278341. This communication reflects only the author's view. The Agency is not responsible for any use that may be made of the information it contains.