James Wilson

Serge Sharoff

Elena Umanskaya

Core vocabulary for Learners

Frequency Dictionary of Russian

A Frequency Dictionary of Russian is an invaluable tool for all learners of Russian, providing a list of the 5,000 most frequently used words in the language and the 300 most frequent multiword constructions. The dictionary is based on data from a 150-million-word internet corpus taken from more than 75,000 webpages and covering a range of text types from news and journalistic articles, research papers, administrative texts and fiction. All entries in the rank frequency list feature the English equivalent, a sample sentence with English translation, a part of speech indication, indication of stress for polysyllabic words and information on inflection for irregular forms. The dictionary also contains twenty-six thematically organised and frequency-ranked lists of words on a variety of topics, such as food and drink, travel, and sports and leisure. A Frequency Dictionary of Russian enables students of all levels to get the most out of their study of vocabulary in an engaging and efficient way. It is also a rich resource for language teaching, research, curriculum design, and materials development. A CD version is available to purchase separately. Designed for use by corpus and computational linguists it provides the full text in a format that researchers can process and turn into suitable lists for their own research purposes.

core vocabulary for learners

A Frequency Dictionary of Russian

Pascale Fung

Reinhard Rapp

Pierre Zweigenbaum

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 students coming to the field. The proposed volume provides a reference source, identifying the state of the art in the field as well as future trends. The book is intended for specialists and students in natural language processing, machine translation and computer-assisted translation.

Building and Using Comparable Corpora

Alexander Mehler

Marina Santini

The volume “Genres on the Web” has been designed for a wide audience, from the expert to the novice. It is a required book for scholars, researchers and students who want to become acquainted with the latest theoretical, empirical and computational advances in the expanding field of web genre research. The study of web genre is an overarching and interdisciplinary novel area of research that spans from corpus linguistics, computational linguistics, NLP, and text-technology, to web mining, webometrics, social network analysis and information studies. This book gives readers a thorough grounding in the latest research on web genres and emerging document types. The book covers a wide range of web-genre focused subjects, such as: • The identification of the sources of web genres • Automatic web genre identification • The presentation of structure-oriented models • Empirical case studies One of the driving forces behind genre research is the idea of a genre-sensitive information system, which incorporates genre cues complementing the current keyword-based search and retrieval applications.

Computational Models and Empirical Studies

Genres on the Web

Serge Sharoff

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