Prepositional phrases

Xem 1-20 trên 39 kết quả Prepositional phrases
  • We present several unsupervised statistical models for the prepositional phrase attachment task that approach the accuracy of the best supervised methods for this task. Our unsupervised approach uses a heuristic based on attachment proximity and trains from raw text that is annotated with only part-of-speech tags and morphological base forms, as opposed to attachment information. It is therefore less resource-intensive and more portable than previous corpus-based algorithm proposed for this task. ...

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  • Ill this paper we describe a neural network-based approach to prepositional phrase attachment disambiguation for real world texts. Although the use of semantic classes in this task seems intuitively to be adequate, methods employed to date have not used them very effectively. Causes of their poor results are discussed. Our model, which uses only classes, scores appreciably better than the other class-based methods which have been tested on the Wall Street Journal corpus. To date, the best result obtained using only classes was a score of 79.1%; we obtained an accuracy score of 86.8%. ...

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  • A problem frequently encountered in the automatic parsing of Russian texts is the correct structuring of prepositional phrases in sentences. Studies of text samples indicate that, when other criteria are absent, the syntactic governors of prepositions can be determined with a high degree of accuracy by reference to the relative position and part-ofspeech of elements in the clausal environment.

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  • Prepositional phrase attachment is a common source of ambiguity in natural language processing. We present an unsupervised corpus-based approach to prepositional phrase attachment that achieves similar performance to supervised methods. Unlike previous unsupervised approaches in which training data is obtained by heuristic extraction of unambiguous examples from a corpus, we use an iterative process to extract training data from an automatically parsed corpus.

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  • A pattern in the translation of locative prepositional phrases between English and Spanish is presented. A way of exploiting this pattern is proposed in the context of a multilingual machine translation system under development. Introduction Two of the main problems in machine translation (MT) are ambiguity and lexical gaps. Ambiguity occurs when a word in the source language (SL) has more that one translation into the target language (TL). Lexical gaps occur when a word in one language can not be translated directly into another language.

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  • This paper presents a format for representing the linguistic form of utterances, called situation schemata, which is rooted in the situation semantics of Barwise and Perry. A treatment of locative prepositional phrases is given, thus illustrating the generation of the situation schemata and their interpretation in situation semantics.

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  • To resolve or not to resolve, that is the structural ambiguity dilemma. The traditional wisdom is to disambiguate only when it matters in terms of the meaning of the utterance, and to do so using the computationally least costly information. NLP work on PP-attachment has followed this wisdom, and much effort has been focused on formulating structural and lexical strategies for resolving noun-phrase and verb-phrase (NP-PP vs. VP-PP) attachment ambiguity (e.g. [8, 11]).

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  • This study attempts to find answers to the question of how a computer program should resolve atThis empirical study attempts to find answers to the question of how a natural language (henceforth tachment by examining naturally occurring PP atNL) system could resolve attachment of preposi- tachments in a typed dialogue domain drawn from a study by Brunner, Whittemore, Ferrara, and Hsu tional phrases (henceforth PPs) by examining nat(1989). Various previously developed theories of urally occurring PP attachments in typed dialogue. ...

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  • The most powerful and the most perfect expression of thought and feeling through the medium of oral language must be traced to the mastery of words. Nothing is better suited to lead speakers and readers of English into an easy control of this language than the command of the phrase that perfectly expresses the thought. Every speaker‟s aim is to be heard and understood. A clear, crisp articulation holds an audience as by the spell of some irresistible power.

    pdf378p haclong054 03-12-2011 191 113   Download

  • Ebook Grammar practice book Grade 5 includes about declarative and interrogative sentences, imperative and exclamatory sentences; interjections, subjects and predicates, complete and simple subjects and predicates, compound subjects and predicates, simple and compound sentences, prepositional phrases,...

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  • Tham khảo tài liệu 'english language proficiency tests-advanced level'sarchivemixed prepositional phrases (2)', ngoại ngữ, toefl - ielts - toeic phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf8p giaoan111 20-07-2011 25 2   Download

  • Tham khảo tài liệu 'english language proficiency tests-advanced level'sarchivemixed prepositional phrases (1)', ngoại ngữ, toefl - ielts - toeic phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • This paper examines the use of an unsupervised statistical model for determining the attachment of ambiguous coordinate phrases (CP) of the form n l p n2 cc n3. The model presented here is based on JAR98], an unsupervised model for determining prepositional phrase attachment. After training on unannotated 1988 Wall Street Journal text, the model performs at 72% accuracy on a development set from sections 14 through 19 of the WSJ TreeBank [MSM93]. 1 Introduction [AR98] models.

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  • There are some sorts of ‘Preposition + Noun’ combinations in Farsi that apparently a Prepositional Phrase almost behaves as Compound Prepositions. As they are not completely behaving as compounds, it is doubtful that the process of word formation is a morphological one. The analysis put forward by this paper proposes “incorporation” by which an No is incorporated to a Po constructing a compound preposition. In this way tagging prepositions and parsing texts in Natural Language Processing is defined in a proper manner. ...

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  • We explore learning prepositionalphrase attachment in Dutch, to use it as a filter in prosodic phrasing. From a syntactic treebank of spoken Dutch we extract instances of the attachment of prepositional phrases to either a governing verb or noun. Using cross-validated parameter and feature selection, we train two learning algorithms, TB I and RIPPER, 011 making this distinction, based on unigram and bigram lexical features and a cooccurrence feature derived from WWW counts.

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  • The structure of this book remains essentially the same as that of the first edition. The most obvious difference is the collapsing of chapters 11 and 12 into one (adjectival and adverbial groups), leaving 12 (prepositions and the prepositional phrase) as the final chapter. Following the welcome feedback from reviewers and consultants, there has also been some rearrangement of the material: in particular, the section on negation has been brought forward to Chapter 1, and the syntax of prepositional and phrasal verbs is made more explicit in Chapter 2.

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  • This paper investigates the use of machine learning algorithms to label modifier-noun compounds with a semantic relation. The attributes used as input to the learning algorithms are the web frequencies for phrases containing the modifier, noun, and a prepositional joining term. We compare and evaluate different algorithms and different joining phrases on Nastase and Szpakowicz’s (2003) dataset of 600 modifier-noun compounds.

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  • TOEIC Test Package will help you learn new phrases, idioms, expressions and English grammar structures every single day. And you won't even have to cram any grammar rules or vocabulary words into your head. Instead, you will be absorbing bits and pieces of the English language almost without realizing it. This compact TOEIC Test Package is the only printable English test and flash card collection currently available on the Internet. It contains 684 TOEIC vocabulary tests and 100 TOEIC grammar tests. You will also get 3.

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  • No part of this publication may be reproduced, stored in a retrieval system or transmited in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher,,,

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  • Trạng từ là từ hoặc cụm từ chỉ thời gian, địa điểm hoặc cách thức của hành động. Không phải câu nào cũng có trạng từ. Chúng thường là các cụm giới từ (prepositional phrase), phó từ (adverb) hoặc một cụm phó từ (adverbial phrase). Chúng trả lời câu hỏi When?, Where? hoặc How? Một cụm giới từ là một cụm từ bắt đầu bằng một giới từ và kết thúc bằng một danh từ (VD: in the morning, on the table,...).

    doc145p nqt3005 13-12-2009 339 199   Download

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