This is the very first book to investigate the field of phraseology from a learner corpus perspective, bringing together studies at the cutting edge of corpus-based research into phraseology and language learners. The chapters include learner-corpus-based studies of phraseological units in varieties of learner language differentiated in terms of task and/or learner variables, compared with each other or with one or more reference corpora; mixed-methods studies that combine learner corpus data wi...
Argumentation in Multi-Agent Systems (Lecture Notes in Computer Science, #6614) (Lecture Notes in Artificial Intelligence, #5384)
The theory of argumentation is a rich, interdisciplinary area of research lying across philosophy, communication studies, linguistics, and psychology (at least). Its techniques and results have found a wide range of applications in both t- oretical and practical branches of arti?cial intelligence and computer science. Several theories of argumentation with various semantics have been proposed in the literature. Multi-agent systems theory has picked up argument-inspired approaches and speci?cally...
Exploring the Fascinating World of Natural Language Processing (NLP)
by Daniel Huston
Semantic Relations Between Nominals (Synthesis Lectures on Human Language Technologies)
by Vivi Nastase, Preslav Nakov, Diarmuid O. Seaghdha, and Stan Szpakowicz
People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text. A system which aspires to human-like performance must also be equipped to identify, and learn from, semantic relations in the texts it processes. Understanding even a simple sentence such as ""Opportunity and Curiosity find similar rocks on Mars"" requires recognizing relations (rocks are located on Mars, signalled by the word on) and drawing on already known relations...
Cross-Language Information Retrieval (Synthesis Lectures on Human Language Technologies)
by Jian-Yun Nie
Search for information is no longer exclusively limited within the native language of the user, but is more and more extended to other languages. This gives rise to the problem of cross-language information retrieval (CLIR), whose goal is to find relevant information written in a different language to a query. In addition to the problems of monolingual information retrieval (IR), translation is the key problem in CLIR: one should translate either the query or the documents from a language to ano...
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow
by Geron Aurelien
TheInternationalConferenceTSD 2005,the8theventin theseriesonText,Speech,and Dialogue, which originated in 1998, presented state-of-the-art technology and recent achievements in the ?eld of natural language processing. It declared its intent to be an interdisciplinary forum, intertwining research in speech and language processing with its applications in everyday practice. We feel that the mixture of different approaches and applications offered a great opportunity to get acquainted with the curr...
This book constitutes of the major results of the EU COST (European Cooperation in the field of Scientific and Technical Research) Action 277: NSP, Nonlinear Speech Processing, running from April 2001 to June 2005. Coverage includes such areas as speech analysis for speech synthesis, speech recognition, speech-non speech discrimination and voice quality assessment, speech enhancement, and emotional state detection.
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size--small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who...
“If you want to know about AI, read this book…It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.”—Peter ThielA cutting-edge AI researcher and tech entrepreneur debunks the fantasy that superintelligence is just a few clicks away—and argues that this myth is not just wrong, it’s actively blocking innovation and distorting our ability to make the crucial...
Descrierea Limbilor Naturale in Sistemul Graalan Vol. 2
by Stefan Stelian Diaconescu
Theoretical and Computational Models of Word Learning
The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmen...
Human Language Technologies the Baltic Perspective: Proceedings of the Fourth International Conference Baltic Hlt 2010
by I Skadina
Natural Language and Voice Processing
by Richard K. Miller, Terri C. Walker, and Fairmont Press
Lexical Issues of UNL
This book inaugurates a series of discussions on what is permanent in the original thinking of the UNL - Universal Networking Language - and the changes that have been introduced during its development. The purpose of the book is to highlight the UNL's fundamental principles that remain as integral as they were when they were first formulated several years ago, while showing how their materialization has evolved over time, following the advances in Linguistics, Knowledge Engineering and Informat...
Contextual Computing: Models and Applications (Cognitive Technologies)
Hands-On Markov Models with Python
by Ankur Ankan and Abinash Panda
Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearnKey FeaturesBuild a variety of Hidden Markov Models (HMM)Create and apply models to any sequence of data to analyze, predict, and extract valuable insightsUse natural language processing (NLP) techniques and 2D-HMM model for image segmentationBook DescriptionHidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you...
Knowledge Spaces
The book describes up-to-date applications and relevant theoretical results. These applications come from various places, but the most important one, numerically speaking, is the internet based educational system ALEKS. The ALEKS system is bilingual English-Spanish and covers all of mathematics, from third grade to the end of high school, and chemistry. It is also widely used in higher education because US students are often poorly prepared when they reach the university level. The chapter by Ta...