Research monograph presenting a new approach to Computational Linguistics The ultimate goal of Computational Linguistics is to teach the computer to understand Natural Language. This research monograph presents a description of English according to algorithms which can be programmed into a computer to analyse natural language texts. The algorithmic approach uses series of instructions, written in Natural Language and organised in flow charts, with the aim of analysing certain aspects of the grammar of a sentence. One problem with text processing is the difficulty in distinguishing word forms that belong to parts of speech taken out of context. In order to solve this problem, Hristo Georgiev starts with the assumption that every word is either a verb or a non-verb. Form here he presents an algorithm which allows the computer to recognise parts of speech which to a human would be obvious though the meaning of the words. Emphasis for a computer is placed on verbs, nouns, participles and adjectives. English Algorithmic Grammar presents information for computers to recognise tenses, syntax, parsing, reference, and clauses.
Hot Topics is guaranteed to engage readers, stimulate thinking, and provoke conversation while developing vocabulary and reading skills. The controversial topics explored in the text all have more than one side to them, thus encouraging debate and classroom interaction.
The affirmation of individual creativity in writing is what sets this book apart from other process-oriented rhetorics. Conversational in tone, the book's third edition boasts a writer-to-writer perspective that will put students at ease. The book "walks" students through the main elements of writing from discovery and research to revising and editing. At the same time, it allows for many detours in its step-by-step approach, with frequent reminders that everyone's processes are unique and that establishing and maintaining a personal voice can be achieved while meeting conventional academic expectations. The book examines the different, yet overlapping stages of writing. It addresses rhetorical issues of audience, purpose, and voice, as well as the details of field, library, and Internet research, with particular attention to evaluating sources. It also offers these new features to keep students and teachers up to date: new Web-based research information; the most recent Modern Language Association guidelines; increased coverage of visual elements of texts; more on approaches to writing "alternative" pieces; and a look at the role of creative nonfiction in an academic setting. The book includes examples of the best of undergraduate writing for inspiration, student statements about their writing problems for reassurance, and guidelines for writing groups, portfolios, publishing class books and Web pages, writing essay examinations, and punctuation.
Collection of exercises covers all major sections of English grammar. Various forms of exercises and tests are designed to compile and systematize the knowledge acquired at school and are growing in degree of difficulty. All assignments are equipped with answers. For applicants, all teachers and students of English
Данная книга имеет особую судьбу. Она была составлена учениками
профессора А. И. Смирницкого (1903-1954) на основе записей лекционных
курсов, читавшихся им в разные годы в МГУ и в 1-м МГПИИЯ. Кроме того,
составители использовали рукописные материалы, наброски и отдельные
замечания автора, предоставленные им О. С. Ахмановой. Таким образом,
предлагаемая книга содержит изложение только таких положений A. И.
Смирницкого, которые еще нигде не были опубликованы ни целиком, ни
частично.
Research monograph presenting a new approach to Computational Linguistics The ultimate goal of Computational Linguistics is to teach the computer to understand Natural Language. This research monograph presents a description of English according to algorithms which can be programmed into a computer to analyse natural language texts. The algorithmic approach uses series of instructions, written in Natural Language and organised in flow charts, with the aim of analysing certain aspects of the grammar of a sentence. One problem with text processing is the difficulty in distinguishing word forms that belong to parts of speech taken out of context. In order to solve this problem, Hristo Georgiev starts with the assumption that every word is either a verb or a non-verb. Form here he presents an algorithm which allows the computer to recognise parts of speech which to a human would be obvious though the meaning of the words. Emphasis for a computer is placed on verbs, nouns, participles and adjectives. English Algorithmic Grammar presents information for computers to recognise tenses, syntax, parsing, reference, and clauses.
