Language Processing Problems

One Mind, Two Languages surveys current research in language processing - from both linguistic and psycholinguistic perspectives - in individuals who speak more than one language. Such research bears

One Mind, Two Languages surveys current research in language processing - from both linguistic and psycholinguistic perspectives - in individuals who speak more than one language. Such research bears

This book offers a state-of-the-art survey of methods and techniques for structuring, acquiring and maintaining lexical resources for speech and language processing. The first chapter provides a b

Moscow-based mathematicians Kuzmina, Manykin, and Grichuk describe and analyze various oscillatory neutral network models, a special kind of artificial neural network model that helps elucidate the ba

Every person who encounters or learns another language is faced with the challenge of processing many new words in a short period of time. What are the conditions under which a learner can acquire those words successfully and process them to long-term memory? How do language and memory faculties interact? What role do the senses play in this process? Are factors such as age or individual backgrounds of learners to be considered? Taking the reader on a fascinating journey through the brain to demonstrate how language is processed, Ulf Schütze explains the dynamic environment involved in recording and producing words. The book also discusses how to use information technology, such as Apps, to make the learning of words entertaining and efficient.

As the first book to share the necessary algorithms for creating code to experiment with design problems in the processing language, this book offers a series of generic procedures that can function a

Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-b

The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But graphs are a natural way of representing the deep syntax and the semantics of natural languages. De

This unique volume offers a comprehensive discussion of essential theoretical and methodological issues concerning the pivotal role of working memory in second language learning and processing. The co

This unique volume offers a comprehensive discussion of essential theoretical and methodological issues concerning the pivotal role of working memory in second language learning and processing. The co

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applicat

This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by t

The relation between ontologies and language is currently at the forefront of natural language processing (NLP). Ontologies, as widely used models in semantic technologies, have much in common with the lexicon. A lexicon organizes words as a conventional inventory of concepts, while an ontology formalizes concepts and their logical relations. A shared lexicon is the prerequisite for knowledge-sharing through language, and a shared ontology is the prerequisite for knowledge-sharing through information technology. In building models of language, computational linguists must be able to accurately map the relations between words and the concepts that they can be linked to. This book focuses on the technology involved in enabling integration between lexical resources and semantic technologies. It will be of interest to researchers and graduate students in NLP, computational linguistics, and knowledge engineering, as well as in semantics, psycholinguistics, lexicology and morphology/syntax.

* Written for those without technical knowledge, so will particularly suit students coming to the discipline from an arts or humanities background. * Contains extensive diagrams, exercises, chapter su