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."

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.

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.

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.

The description, automatic identification and further processing of web genres is a novel field of research in computational linguistics, NLP and related areas such as text-technology, digital humanities and web mining. One of the driving forces behind this research is the idea of genre-enabled search engines which enable users to additionally specify web genres that the documents to be retrieved should comply with (e.g., personal homepage, weblog, scientific article etc.). This book offers a thorough foundation of this upcoming field of research on web genres and document types in web-based social networking. It provides theoretical foundations of web genres, presents corpus linguistic approaches to their analysis and computational models for their classification. This includes research in the areas of web genre identification, web genre modelling and related fields such as genres and registers in web based communication social software-based document networks web genre ontologies and classification schemes text-technological models of web genres web content, structure and usage mining web genre classification web as corpus. The book addresses researchers who want to become acquainted with theoretical developments, computational models and their empirical evaluation in this field of research. It also addresses researchers who are interested in standards for the creation of corpora of web documents. Thus, the book concerns readers from many disciplines such as corpus linguistics, computational linguistics, text-technology and computer science.

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.