Example sentences

Xem 1-20 trên 98 kết quả Example sentences
  • Ebook Sight word kids Level 3-A includes about: Has, an; of, had, round; live; thank; over, old, some; let, him, by; fly, again; just, may; give, going; open, once; example sentences. This book is good for children, parent and teacher.

    pdf56p thieulam5782 04-10-2015 29 12   Download

  • We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus meaning representations. We develop an algorithm that maintains explicit, lambda-calculus representations of salient discourse entities and uses a context-dependent analysis pipeline to recover logical forms. The method uses a hidden-variable variant of the perception algorithm to learn a linear model used to select the best analysis.

    pdf9p hongphan_1 14-04-2013 13 4   Download

  • In this paper we sketch an approach for Natural Language parsing. Our approach is an example-based approach, which relies mainly on examples that already parsed to their representation structure, and on the knowledge that we can get from these examples the required information to parse a new input s e n t e n c e . In our approach, examples are annotated with the Structured String Tree Correspondence (SSTC) annotation schema where each SSTC describes a sentence, a representation tree as well as the correspondence between substrhzgs in the sentence and subtrees in the representation tree. ...

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  • A computer program for the mechanical translation into English of an infinite subset of the set of all Arabic sentences has been written and tested. This program is patterned after Victor H. Yngve's framework for syntactic translation.

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  • We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing and evaluate their effectiveness empirically. Furthermore, we utilize syntactic constraints of Japanese to obtain more labeled examples from precious labeled ones that annotators give. Experimental results show that our proposed methods improve considerably the learning curve of Japanese dependency parsing.

    pdf10p hongdo_1 12-04-2013 10 1   Download

  • Parse-tree paths are commonly used to incorporate information from syntactic parses into NLP systems. These systems typically treat the paths as atomic (or nearly atomic) features; these features are quite sparse due to the immense variety of syntactic expression. In this paper, we propose a general method for learning how to iteratively simplify a sentence, thus decomposing complicated syntax into small, easy-to-process pieces.

    pdf9p hongphan_1 15-04-2013 15 1   Download

  • This paper describes a novel instancebased sentence boundary determination method for natural language generation that optimizes a set of criteria based on examples in a corpus. Compared to existing sentence boundary determination approaches, our work offers three significant contributions. First, our approach provides a general domain independent framework that effectively addresses sentence boundary determination by balancing a comprehensive set of sentence complexity and quality related constraints.

    pdf8p bunbo_1 17-04-2013 16 1   Download

  • We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a deterministic shift-reduce parser in the form of a decision structure. It relies heavily on context, as encoded in features which describe the morphological, syntactic, semantic and other aspects of a given parse state.

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  • The paper describes GEMS, a system for Generating and Expressing the Meaning of Sentences, focussing on the generation task, i.e. how GEMS extracts a set of propositional units from a knowledge store that can be expressed with a well-formed sentence in a target language. GEMS is lexically distributed. After a central processor has selected the first unit(s) from the knowledge store and activated the corresponding lexical entry, the further construction of the sentences meaning is entrusted to the entries in the vocabulary.

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  • This paper sketches some basic features of the SYNPHONICS account of the computational modelling of incremental language production with the example of the generation of passive sentences. The SYNPHONICS approach aims at linking psycholinguistic insights into the nature of the human natural language production process with well-established assumptions in theoretical and computational linguistics concerning the representation and processing of grammatical knowledge.

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  • Step-by-step grammar explanations with clear examples *A wealth of varied practice exercises with write-in space on the page *Tests to monitor students' progress *Illustrated with lively cartoons to increase students' understanding *An index and a comprehensive contents list for easy reference *For self-study, homework or use in class.

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  • Obtain a Dictionary Before attempting to use this book, you will need to obtain a good English-English dictionary, such as the Easier English Dictionary for Students (ISBN: 978 07475 6624 3) published by A&C Black Publishers Ltd, which this workbook has been based on. Using your Dictionary A dictionary is really a long list of individual words, but in normal situations, words are very rarely used on their own, appearing instead together with other words.

    pdf81p truongdoan 27-07-2009 1860 1227   Download

  • You probably can't learn all the hundreds of thousands of words in the English language--but you can learn those difficult words you're most likely to need to know. If you want to increase your vocabulary for standardized tests or just better communication, Webster's New World Essential Vocabulary is the only tool you need. It presents essential words with definitions, example sentences, synonyms, and tense forms.

    pdf402p yeungoaingu 23-04-2009 1390 903   Download

  • The purpose of this Vocabulary Building Workbookd series is to provide students with practice in vocabulary development. The use of passages, rather than example sentences of the kind found in most dictionaries, demontrates in a lively and graphic way just how words and sentences relate to each other and how english is actually put together

    pdf92p nhutthinh 23-07-2009 417 274   Download

  • Many instructors use these allusions as part of their classes, asking students if they know what they refer to, or, if a joke is involved, whether or not they get the joke. Here’s an example from page 3: “Pandora stared curiously at the box in her hand.” Instructors can use this sentence as they would any other sentence in the practice (underlining nouns), or they can stop for a moment and ask if anyone knows whether Pandora opened that box—or if she should open the box.

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  • Tham khảo sách 'websters new word - essential vocabulary', ngoại ngữ, toefl - ielts - toeic phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf402p anhkhoa_lpt 08-04-2011 437 271   Download

  • Suitable for intermediate to advanced learners of English, Collins COBUILD Business Vocabulary in Practice provides comprehensive coverage of today’s business vocabulary in a clear, easy-to-use format. The text has been illustrated with thousands of examples of real English from the Bank of English, to help students write, speak, and understand English better.

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  • As with all previous editions, we have included allusions designed to interest both the instructor and the student. For example, in just the first two sections of Chapter 1 are allusions to Pandora, Benjamin Franklin, Hafiz, P. T. Barnum, John Donne, Emily Dickinson, Persephone, Madonna, the Hindenburg, Steve Jobs, Thor, Ichabod Crane, Elmo, and Dido.

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  • I. SUBJECT & VERB AGREEMENT Please remember that subject and verb in a sentence must agree with each other. Example: The elevator works very well. (singular) The elevators work very well. (plural) 1. Subject separated from the verb: - In English, subject and verb are often separated from each other. English learners have a bit difficulty to decide exactly how they are agreed in person and number. Example: The boys in the room (is or are) watching TV

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  • English is a language of the western branch of the German language group in the Indo-European), were imported to England by the language invasion of many people in the 6th century. Transmitted throughout the English colonialism in the boom period...

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