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Foundations of Statistical Natural Language Processing
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
The German Mittelstand and the Israeli Startup Ecosystem
Die Studie "Der deutsche Mittelstand und das Potenzial des israelischen Startup-Ökosystems" beruht auf rund 60 qualitativen Interviews mit hochrangigen Vertretern deutscher Mittelständler und multinationaler Unternehmen. Des Weiteren wurde die Expertise von Akteuren wie ausländischen Unternehmen mit Berührungspunkten zur israelischen High-Tech-Unternehmenslandschaft, Schlüsselfiguren in israelischen Start-Ups, Universitäten oder NROs eingeholt. Durchgeführt wurden die Interviews durch ein Team der Hebräischen Universität Jerusalem, des israelischen Unternehmens Pinpoint, und den deutschen Unternehmen Eclareon und T-Base Consulting.
Translation-based corpus studies
This book presents a model for describing translation performance as a basis for contrastive linguistics, in the realm of tense and aspect. It is based on extensive corpus studies investigating the differences between English and Portuguese using authentic translations in the two directions. In method and substance, the book features several original claims, trying to achieve a balance between theoretical issues and the presentation of concrete translation data. In addition, it deals with computational applications of parallel corpora. Translation-based corpus studies should thus be appropriate for translator education, and for introducing contrastive semantics and the methodology of corpus linguistics to students of linguistics and computer science. Researchers in tense and aspect, translation, and corpus linguistics are, nevertheless, the book’s primary audience.
Computational approaches to semantic change
Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Suc...
Recent Advances in Natural Language Processing IV
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Semisupervised Learning for Computational Linguistics
The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field. Providing a broad, accessible treatment of the theory as well as linguistic applications, Semisupervised Learning for Computational Linguistics offer
Word Sense Disambiguation
This is the first comprehensive book to cover all aspects of word sense disambiguation. It covers major algorithms, techniques, performance measures, results, philosophical issues and applications. The text synthesizes past and current research across the field, and helps developers grasp which techniques will best apply to their particular application, how to build and evaluate systems, and what performance to expect. An accompanying Website extends the effectiveness of the text.
