A beautiful and wealthy young woman, Elizabeth Roffe, decides to run the family business after the death of her father. Soon she believes someone is trying to kill her and destroy the large pharmaceutical company her grandparents founded. Everyone is a suspect including her own husband!
Added by: best_pusher | Karma: 29.02 | Black Hole | 21 June 2012
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Cecelia Ahern. The Book of Tomorrow
Born into the lap of luxury and comfortable in the here and now, spoiled, tempestuous Tamara Goodwin has never had to look to the future—until the abrupt death of her father leaves her and her mother a mountain of debt and forces them to move in with Tamara's peculiar aunt and uncle in a tiny countryside village. Tamara is lonely and bored, with a traveling library as her only diversion. There she finds a large leather-bound book with a gold clasp and padlock, but no author name or title. Intrigued, she pries open the lock, and what she finds inside takes her breath away.
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David Crystal-The Cambridge Encyclopedia of the English Language
Added by: Лиса_Sergeevna | Karma: 20.33 | Black Hole | 16 May 2012
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David Crystal-The Cambridge Encyclopedia of the English Language
This book is a superably written and illustrated exploration of the history, structure, and use of English throughout the world. World-renowned linguist and author, David Crystal, explores the many facets and varieties of the English language, bringing life to this large and complex subject.
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This book teaches English through rhymes and collocations, the complete set of words used in it includes basic expressions, as well as those rhymed with them, most unexpected, funny combinations. All this is included into the richly illustrated verses, games and cross-words which help to memorize a large amount of words. There are also some games, e.g. 'Memory' – rhyming pairs of pictures, rhyming domino, or ‘naughts and crosses’.
Structure Discovery in Natural Language (Theory and Applications of Natural Language Processing)
Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet.
