Written by Alexander Raginsky Course Summary Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you’ll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We’ll show you how to train and
Written by Alexander Raginsky Our network was trained on a lot of data from the United Nations and the European Parliament, so these are the kind of sentences that it does well on. Give them a try! Economic growth has slowed down in recent years. The war in the Middle East is almost over. The European Parliament has decided
Written by Alexander Raginsky Greater than 2 minutes, my friend! Last week a translator called me… After she had accepted the job, her customer asked her to make sure the terms she uses in the translation are the same as in the screenshots; the software would not be localized. At first, she thought: “OK, no problem. I’ll see the
Written by Alexander Raginsky eBay’s Machine Translation (MT) engine currently handles only user-generated (UG) content; all eBay-generated content is translated by our talented localization team. It is common knowledge that UG text can get pretty noisy; most common issues include typos, non-dictionary terms, etc. At eBay, however, we deal with more than that. In the next series of articles
Written by Alexander Raginsky I’d like to announce that we are organising a summer school in free/open-source rule-based machine translation in Alacant from the 11th to the 22nd of July, 2016. The course will cover rule-based machine translation paradigms from direct translation to interlingua translation, the whole Vauquois pyramid! Practical work will be based on the following free/open-source systems:
Written by Alexander Raginsky 2nd Summer School on Integrating Vision and Language (iV&LSS 2016): Deep Learning 21?24 March 2016, University of Malta, Malta Organised by ICT COST Action IC1307 The European Network on Integrating Vision and Language (iV&L Net) – Combining Computer Vision and Language Processing For Advanced Search, Retrieval, Annotation and Description of Visual Data About iV&L Net:
Written by Alexander Raginsky It was early 1954 when computer scientists, for the first time, publicly revealed a machine that could translate between human languages. It became known as the Georgetown-IBM experiment: an “electronic brain” that translated sentences from Russian into English. The scientists believed a universal translator, once developed, would not only give Americans a security edge over
Written by Alexander Raginsky Lancaster Summer Schools in Corpus Linguistics and other Digital methods Lancaster University, UK – 12th to 15th July 2016 Lancaster University is pleased to offer six free training events that cover the techniques of corpus linguistics, computational analysis of language and geographical information systems. The following six Summer Schools will run in July 2015: o
Written by Alexander Raginsky The MPhil Linguistics at the VU University Amsterdam now offers a two-years specialization in Linguistic Engineering. Linguistic Engineering is a young research field that holds a unique position between linguistics and computer science. The program is offered by the Computational Lexicology and Terminology Lab (CLTL), a leading research group in computational linguistics. Bachelors in linguistics,
Written by Alexander Raginsky The ICWE 2016 PhD Symposium aims to improve the research of PhD students and broaden their perspectives by giving them the opportunity to share and develop their research ideas in a supportive environment, get feedback from senior members of the Web engineering community, improve their communication skills, exchange ideas and build relationships with other international
