Written by Alexander Raginsky Interview with Arianna Bisazza is online Check what one of the most promising young researchers working in the machine translation field tells about her career path and what she thinks about the future of MT and NLP in general. The interview can be found at this link.
Written by Alexander Raginsky New publication Harvard School of Engineering and Applied Science run an online course in data science in machine learning. You can find a review of the course at https://nlppeople.com/index.php/publications/articles/186-cs109-data-science-review-of-harvard-course Enjoy your reading!
Written by Alexander Raginsky NLP People is redesigned Two days ago we released the updated version of NLP People. Now the NLP People portal is search-centered, it allows for improved search functionality and provides easier access to our resources. Please send us your feedback to info@nlppeople.com, if you have any. And enjoy the new look of NLPPeople.com!
Written by Alexander Raginsky Interview with a fresh data mining graduate is online Now you can read what a fresh data mining graduate (Victoria Denisova) told about her studies, her career path and what she thinks about threads that your professionals can face. The interview can be found at this link.
Written by Alexander Raginsky New publication “a chat with data scientist” is online An insightful interview with Claudia Perlich, a chief scientist at Dstillery, for everyone interested in data mining is online. The interview can be found at this link.
Written by Alexander Raginsky New publication “Starting your own NLP business” is online Are you ready to start your own business in the NLP area? Do you know what to look at and which aspects of your future business should draw your attention first? If not, check the first part of the blog post available at this link.
Written by Alexander Raginsky New publication “Review of the course on Statistics by A. Gibbs and J. Rosenthal” is online A through review of the University of Toronto online course called “Statistics: making sense of data” is available at this link.
Written by Alexander Raginsky New publication In this post we continue presenting the main groups of factors that influence any young NLP company by example of a Machine Translation startup in Europe. Here, we will cover the following areas: Technology&Research, Data, Evaluation, Resources and Translators & Post-editors. Please refer to the previous post for the rest of the discussion. You can
Written by Alexander Raginsky New publication: Leveraging university knowledge to the real world workflow Irina Popova, a recent NLP graduate is sharing her experience on her first attempt to work with machine translation technology in the real-world environment. You can find full article at this link.
Written by Alexander Raginsky In the article we published a couple of weeks ago, Nick Gallimore warns recent NLP graduates that there is no big job market for linguists without solid coding skills. It stimulated us to run a small research project in order to understand which requirements the industrial job market dictates to computational linguists and other NLP/DM/ML
