Kategoria BISAC: Computers >> Artificial Intelligence - Natural Language Processing

The 1990s saw a paradigm change in the use of corpus-driven methods in NLP. In the field of multilingual NLP (such as machine translation and terminology mining) this implied the use of parallel corpora. However, parallel resources are relatively scarce: many more texts are produced daily by native speakers of any given language than translated. This situation resulted in a natural drive towards the use of comparable corpora, i.e. non-parallel texts in the same domain or genre. Nevertheless, this research direction has not produced a single authoritative source suitable for researchers and...

The basis for this additional volume are the three volumes of the handbooks Dictionaries. An International Encyclopedia of Lexicography (HSK 5.1-5.3), published between 1989 and 1991. An updating has been perceived as an important desideratum for a considerable time. In the present Supplementary Volume the premises and subjects of HSK 5.1-5.3 are complemented by new articles that take account of the practice-internal and theoretical developments of the last 15 years. Special attention has been given to the following topics: the status and function of lexicographic reference works,...

This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.

Corpus linguistics uses large electronic databases of language to examine hypotheses about language use. These can be tested scientifically with computerised analytical tools, without the researcher's preconceptions influencing their conclusions. For this reason, corpus linguistics is a popular and expanding area of study. Contemporary Corpus Linguistics presents a comprehensive survey of the ways in which corpus linguistics is being used by researchers. Written by internationally renowned linguists, this volume of seventeen introductory chapters aims to provide a snapshot of the field of...

Advances in Commercial Deployment of Spoken Dialog Systems covers the peculiarities of commercial deployments of spoken dialog systems, from the tools, standards, and design principles to build them, the infrastructure to deploy them, techniques to monitor, evaluate, and analyze them, and, most importantly, effective strategies to adapt, tune, and optimize them. The book shows to what extent academic spoken dialog system research converges with real-world applications. This academic and practical synergy can be leveraged to build successful and robust spoken dialog applications that...

Create your own natural language training corpus for machine learning. Whether you're working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle--the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don't need any programming or linguistics experience to get started.

Using detailed examples at every step, you'll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate,...

The book addresses graduate students and practitioners with a basic understanding of "classical" text retrieval methods. The growing amount of non-English information accessible globally and the increased world-wide exposure of enterprises means that these target groups will have a rapidly growing need to adapt their existing knowledge of IR methods to new, multilingual settings. We intend to close the gap between the material covered by most of the classical IR textbooks and this new operational reality. A comprehensive coverage of cross-language and multilingual retrieval technologies...

This book reports on the contrastive-semantic investigation of sadness expressions between English and Chinese, based on two monolingual general corpora and a parallel corpus. The exploration adopts a unique theoretical approach which integrates corpus-linguistic theories on meaning (as a social construct, usage and paraphrase) with a corpus-linguistic lexical model. It employs a new complex but workable methodology which combines computational tools with manual examination to tease meaning out of corpus evidence, to compare and contrast lexical items that do not match up neatly between...

In 6 chapters the book sheds light on the comparison of sentiment classification accuracy between single-word and multi-word concepts, for which a bespoke sentiment analysis system developed by the author was used.

Is the internet a suitable linguistic corpus? How can we use it in corpus techniques? What are the special properties that we need to be aware of? This book answers those questions.

The Web is an exponentially increasing source of language and corpus linguistics data. From gigantic static information resources to user-generated Web 2.0 content, the breadth and depth of information available is breathtaking - and bewildering. This book explores the theory and practice of the "web as corpus." It looks at the most common tools and methods used and features a plethora of examples based...