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	Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Natural Language Processing (I.2.7) > Machine Translation (I.2.7...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 38 Reviews about "Machine Translation (I.2.7...)": Date Reviewed   Making machine learning robust against adversarial inputs Goodfellow I., McDaniel P., Papernot N. Communications of the ACM 61(7): 56-66, 2018.  Type: Article Machine learning (ML) has become ubiquitous in recent times. It is used in numerous (important) applications and its use will seemingly only increase. The current ML state of the art can be attributed to “nearly 50 years of r... Oct 15 2018   Machine translation Poibeau T., The MIT Press, Cambridge, MA, 2017. 296 pp.  Type: Book (978-0-262534-21-5), Reviews: (3 of 3) Linguistic competence is a specific skill that some exceptionally gifted people possess when learning a foreign language by listening to a native speaker or reading a text written by a native speaker. The comprehension of an utterance ... Sep 28 2018   Learning safe multi-label prediction for weakly labeled data Wei T., Guo L., Li Y., Gao W. Machine Learning 107(4): 703-725, 2018.  Type: Article Many real-world applications involve learning in the presence of multiple labels. For example, in the case of images, a single image may be labeled sky, cloud, or even flower. To make matters more complicated, the dataset for training ... Sep 11 2018    Machine translation Poibeau T., The MIT Press, Cambridge, MA, 2017. 296 pp.  Type: Book (978-0-262534-21-5), Reviews: (2 of 3) This small book (approximately size A5), part of the Massachusetts Institute of Technology (MIT) Press “Essential Knowledge” series, captures the essence of the machine translation (MT) field, from its origins to the... Aug 20 2018   Never-ending learning Mitchell T., Cohen W., Hruschka E., Talukdar P., Yang B., Betteridge J., Carlson A., Dalvi B., Gardner M., Kisiel B., Krishnamurthy J., Lao N., Mazaitis K., Mohamed T., Nakashole N., Platanios E., Ritter A., Samadi M., Settles B., Wang R., Wijaya D., Gupta A., Chen X., Saparov A., Greaves M., Welling J. Communications of the ACM 61(5): 103-115, 2018.  Type: Article Human beings are continuously learning via exposure to a variety of experiences and situations. Can current computers with limited knowledge bases (KBs) and learning models ever mimic real human intelligence? Mitchell et al. compelling... Aug 17 2018   Machine translation Poibeau T., The MIT Press, Cambridge, MA, 2017. 296 pp.  Type: Book (978-0-262534-21-5), Reviews: (1 of 3) Machine translation, by Thierry Poibeau, is a pocket-sized text. Although not technical, the book provides a good general overview of the subject. Machine translation is a wide and very practical subject so a general text explai... Feb 7 2018   Hybrid approaches to machine translation Costa-jussà M., Rapp R., Lambert P., Eberle K., Banchs R., Babych B., Springer International Publishing, New York, NY, 2016. 205 pp.  Type: Book (978-3-319213-10-1) Hybrid approaches to machine translation is a book devoted to an extremely interesting and useful topic. The book presents recent research conducted by linguists and practitioners from different multidisciplinary areas in emergi... Jan 27 2017   Machine translation Bhattacharyya P., Chapman & Hall/CRC, Boca Raton, FL, 2015. 248 pp.  Type: Book (978-1-439897-18-8) Machine translation (MT) was one of the earliest goals of artificial intelligence (AI) research; its first rise in the late 1950s and fall in the mid-1960s is one of the classic examples of excessive hype followed by dramatic deflation... Aug 25 2015   Adaptation of machine translation for multilingual information retrieval in the medical domain Pecina P., Dušek O., Goeuriot L., Hajič J., Hlaváčová J., Jones G., Kelly L., Leveling J., Mareček D., Novák M., Popel M., Rosa R., Tamchyna A., Urešová Z. Artificial Intelligence in Medicine 61(3): 165-185, 2014.  Type: Article Machine translation (MT) seems to be the earliest goal of computer applications, not only used for private purposes but especially by governments. Despite extensive research carried out in the area, translation quality still remains un... Feb 10 2015   A language modeling approach for extracting translation knowledge from comparable corpora Rahimi R., Shakery A.  ECIR 2013 (Proceedings of the 35th European Conference on Advances in Information Retrieval, Moscow, Russia, Mar 24-27, 2013) 606-617, 2013.  Type: Proceedings In machine translation, system efficiency refers to translation quality, which largely depends on factors such as source, to target language similarity; language resources; and the translation model, which is an algorithm that processe... Nov 11 2013       Display 510152550100 per page
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