This book is based on contributions to the Seventh European Summer School on Language and Speech Communication that was held at KTH in Stockholm, Sweden, in July of 1999 under the auspices of the European Language and Speech Network (ELSNET).
The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard varieties of) English, support for Albanian, Burmese, or Cebuano-and most other languages-remains limited.
This book adopts a corpus-based critical discourse analysis approach and examines a corpus of newspaper articles from Pakistani and Indian publications to gain comparative insights into the ideological construction of China's Belt and Road Initiative (BRI) and the China-Pakistan Economic Corridor (CPEC) within news discourses.
This work combines interdisciplinary knowledge and experience from research fields of psychology, linguistics, audio-processing, machine learning, and computer science.
This book presents the creation of a bilingual thesaurus (Italian and English), and its conversion into an ontology system, oriented to the Cybersecurity field of knowledge term management and the identification of a replicable method over other specialized areas of study, through computational linguistics procedures, to a statistical and qualitative measurement of the terminological coverage threshold a controlled vocabulary is able to guarantee with respect to the semantic richness proper to the domain under investigation.
This book explores novel aspects of social robotics, spoken dialogue systems, human-robot interaction, spoken language understanding, multimodal communication, and system evaluation.
This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models.
Automated question answering - the ability of a machine to answer questions, simple or complex, posed in ordinary human language - is one of today's most exciting technological developments.
Combining English for Specific Purposes (ESP) genre-based analysis, corpus-based language studies, and semi-structured interviews, this book represents the first multi-faceted project on the macro-structure of empirical research articles (ERAs) from both synchronic and diachronic perspectives, and on the "e;I+LR"e; patterned introductory phase (comprising two introductory sections, i.
From common consumer products such as cell phones and MP3 players to more sophisticated projects such as human-machine interfaces and responsive robots, speech technologies are now everywhere.
This revised edition of the highly recommended book "e;First-Order Modal Logic"e;, originally published in 1998, contains both new and modified chapters reflecting the latest scientific developments.
The aim of this volume is to bring together researchers interested in investigating the role that Discourse Markers play in language production and comprehension from an experimental or corpus-based perspective.
This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the working environments.
This comprehensive, interdisciplinary handbook reviews the latest methods and technologies used in automated essay evaluation (AEE) methods and technologies.
Using a corpus of data drawn from naturally-occurring second language conversations, this book explores the role of idiomaticity in English as a native language, and its comparative role in English as a lingua franca.
This edited volume provides a platform for experts from various fields to introduce and discuss their different perspectives on the topic of teamwork and collaborative problem solving.
This book gives readers a deep insight into cryptography and discusses the various types of cryptography algorithms used for the encryption and decryption of data.
This book covers the topic of temporal tagging, the detection of temporal expressions and the normalization of their semantics to some standard format.
Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language.
This book gives a comprehensive introduction to natural language processing (NLP) and its applications, covering the topics of multimodal data processing, Chinese word segmentation, new word discovery, named entity recognition, keyword analysis, and knowledge graph construction in terms of semantic analysis.
The key assumption in this text is that machine translation is not merely a mechanical process but in fact requires a high level of linguistic sophistication, as the nuances of syntax, semantics and intonation cannot always be conveyed by modern technology.
The book addresses controversies around the conscious vs automatic processing of contextual information and the distinction between literal and nonliteral meaning.
This book enables readers to interrogate the technical, rhetorical, theoretical, and socio-ethical challenges and opportunities involved in the development and adoption of augmentation technologies and artificial intelligence.