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Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval.
Parsing technology is concerned with finding syntactic structure in language. This work gives an overview of research and development in parsing technologies. It details how probabilistic methods are used in computational linguistics so they can be applied in parsing theory and practice.
Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. This book contains contributions from many of today's leading researchers in the area of natural language parsing technology.
This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text.
This book assembles major writings in speech production and phonetics of the pioneering Gunnar Fant, along with his more recent work on speech prosody. The book reviews the stages of the speech chain, covering production, speech data analysis and speech perception.
This book is a comprehensive introduction to the statistical analysis of word frequency distributions, intended for computational linguists, corpus linguists, psycholinguists, and researchers in the field of quantitative stylistics.
Continued progress in Speech Technology in the face of ever-increasing demands on the performance levels of applications is a challenge to the whole speech and language science community.
Following the introduction, fourteen papers which represent current research on intonation are organised into five thematic sections: (I) Overview of Intonation, (II) Prominence and Focus, (III) Boundaries and Discourse, (IV) Intonation Modelling, and (V) Intonation Technology.
Collocation is a key language phenomenon which crucially impacts any text production task and which is exploitable in many text analysis tasks. This book offers a comprehensive and up-to-date review of the theoretical and practical work on this topic.
In both the linguistic and the language engineering community, the creation and use of annotated text collections (or annotated corpora) is currently a hot topic. Unfortunately, the annotation of text material, especially more interesting linguistic annotation, is as yet a difficult task and can entail a substan tial amount of human involvement.
This is the first book to treat two areas of speech synthesis: natural language processing and the inherent problems it presents for speech synthesis; The book will be of interest to researchers and students in phonetics and speech communication, in both academia and industry.
This volume deals with a wide range of topics including the representation of tones and intonation, evidence for and constraints on prosodic phrasing, prosodic boundary detection, articulatory dynamics of stress, timing in speech, and prosodic correlates of speaking style, as well as the perception of prosodic prominence.
Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an introduction to these technologies describing basic statistical modeling techniques for language and speech, the use of Hidden Markov Models in continuous speech recognition, and the development of dialogue systems.
This is the first comprehensive overview of computational approaches to Arabic morphology. The subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed.
In Marcus (1980), deterministic parsers were introduced. We make no ar guments about the linguistic issues D-theory parsers are meant to address, their relation to other parsing formalisms or the notion of determinism in general.
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).
In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding.
The next three chapters focus on speech applications, more specifically on the organization of speech data bases, and on the use of lexica in speech synthesis and speech recognition.
Most of the books about computational (lexical) semantic lexicons deal with the depth (or content) aspect of lexicons, ignoring the breadth (or coverage) aspect. The main approaches in the field of computational (lexical) semantics are represented in the present book (including Wordnet, CyC, Mikrokosmos, Generative Lexicon).
This new Springer volume provides a comprehensive and detailed look at current approaches to automated question answering. It can also be used to teach graduate courses in Computer Science, Information Science and related disciplines.
Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.
From a broad theoret ical perspective, the notion of predicate is central to research on the syntax semantics interface, the generative lexicon, the definition of ontology-based semantic representations, and the formation of verb semantic classes.
This required the collection of data, the development of a concept for diagnostic evaluation of linguistic word recognition systems and, of course, the actual evaluation of the system itself.
The eleven chapters of this book represent an original contribution to the field of multimodal spoken dialogue systems.
Techniques in Speech Acoustics provides an introduction to the acoustic analysis and characteristics of speech sounds.
This book is a comprehensive introduction to the statistical analysis of word frequency distributions, intended for computational linguists, corpus linguists, psycholinguists, and researchers in the field of quantitative stylistics.
From a broad theoret ical perspective, the notion of predicate is central to research on the syntax semantics interface, the generative lexicon, the definition of ontology-based semantic representations, and the formation of verb semantic classes.
The main topic of this volume is natural multimodal interaction. Topics addressed include talking heads, conversational agents, tutoring systems, multimodal communication, machine learning, architectures for multimodal dialogue systems, systems evaluation, and data annotation.
This is the first comprehensive overview of computational approaches to Arabic morphology. The subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed.
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