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Use of prepositions and articles

Xem 1-20 trên 21 kết quả Use of prepositions and articles
  • This paper shows the fallacy of this claim. It addresses the problem. It identifies and describes a number of object characteristics beyond shape (section I) and contextual factors ( s e c t i o n 2) which bear on these processes. Drawing on these d e s c r i p t i o n s , the t h i r d section proposes core meanings for two categories of . The l a s t section outlines the main d i r e c t i o n s of Inquiry suggested by the examples and...

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  • ON REPRESENTING GOVERNED PREPOSITIONS AND HANDLING "INCORRECT" AND NOVEL PREPOSITIONS Hatte R. Blejer, Sharon Flank, and A n d r e w K c h l e r SRA Corporation 2000 15th St. N o r t h Arlington, VA 22201, USA ABSTRACT NLP systems, in order to be robust, must h a n d l e novel a n d ill-formed input. One c o m m o n type of error involves the use of n o n - s t a n d a r d prepositions to m a r k arguments. In this paper, we...

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  • Các tài liệu trong bộ sưu tập unit 8 Life in the future là những giáo án được biên soạn cẩn thận, rõ ràng, học sinh có thể dùng để tìm hiểu trước nội dung của bài học để có thể tiếp thu bài học nhanh hơn khi đến lớp. Thông qua bài học, giáo viên giúp học sinh nói về những thay đổi của cuộc sống trong tương lai, được phổ biến kiến ​​thức về cuộc sống và môi trường, học các từ liên quan đến đời sống và kinh tế, môi trường, biết cách sử dụng “in, on, at, of, by, about,...

    doc38p ngocvy_321 27-03-2014 486 50   Download

  • 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.

    pdf6p hongvang_1 16-04-2013 38 2   Download

  • Machine translation of locative prepositions is not straightforward, even between closely related languages. This paper discusses a system of translation of locative prepositions between English and French. The system is based on the premises that English and French do not always conceptualize objects in the same way, and that this accounts for the major differences in the ways that locative prepositions are used in these languages.

    pdf8p bunmoc_1 20-04-2013 43 3   Download

  • This paper outlines the linguistic semantic commitments underlying an application which automatically constructs depictions of verbal spatial descriptions. Our approach draws on the ideational view of linguistic semantics developed by Ronald Langacker in his theory of Cognitive Grammar, and the conceptual representation of physical objects from the two-level semantics of Bierwisch and Lang. In particular the dimensions of the process of conventwnal imagery are used as a metric for the design of our own conceptual representation. ...

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  • We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker text and a modest increment in precision and recall in an ESL error detection task. Analysis of the parser output indicates that it is robust enough in the face of noisy non-native writing to extract useful information.

    pdf6p hongdo_1 12-04-2013 32 2   Download

  • The choice of verb features is crucial for the learning of verb classes. This paper presents clustering experiments on 168 German verbs, which explore the relevance of features on three levels of verb description, purely syntactic frame types, prepositional phrase information and selectional preferences. In contrast to previous approaches concentrating on the sparse data problem, we present evidence for a linguistically defined limit on the usefulness of features which is driven by the idiosyncratic properties of the verbs and the specific attributes of the desired verb classification. ...

    pdf8p bunthai_1 06-05-2013 23 2   Download

  • 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. ...

    pdf7p bunrieu_1 18-04-2013 38 3   Download

  • 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 paper proposes a new class-based m e t h o d to estimate the strength of association in word co-occurrence for the purpose of structural disambiguation. To deal with sparseness of data, we use a conceptual dictionary as the source for acquiring upper classes of the words related in t h e co-occurrence, and then use t-scores to determine a pair of classes to be employed for calculating the strength of association. We have applied our m e t h o d to determining dependency relations in Japanese and prepositional phrase attachments in English. ...

    pdf7p bunrieu_1 18-04-2013 32 2   Download

  • The classifying of words according to syntactic usage is basic to language handling; this paper describes an algorithm for automatically classifying words according to thirteen commonly used parts of speech: noun, adjective, verb, past verb, adverb, preposition, conjunction, pronoun, interjection, present participle, past participle, auxiliary verb, and plural or collective noun.

    pdf0p nghetay_1 06-04-2013 35 1   Download

  • As the number of learners of English is constantly growing, automatic error correction of ESL learners’ writing is an increasingly active area of research. However, most research has mainly focused on errors concerning articles and prepositions even though tense/aspect errors are also important.

    pdf5p nghetay_1 07-04-2013 42 1   Download

  • We present a simple linguistically-motivated method for characterizing the semantic relations that hold between two nouns. The approach leverages the vast size of the Web in order to build lexically-specific features. The main idea is to look for verbs, prepositions, and coordinating conjunctions that can help make explicit the hidden relations between the target nouns.

    pdf9p hongphan_1 15-04-2013 25 1   Download

  • 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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  • Automated grammar correction techniques have seen improvement over the years, but there is still much room for increased performance. Current correction techniques mainly focus on identifying and correcting a specific type of error, such as verb form misuse or preposition misuse, which restricts the corrections to a limited scope. We introduce a novel technique, based on a noisy channel model, which can utilize the whole sentence context to determine proper corrections.

    pdf11p hongdo_1 12-04-2013 35 2   Download

  • The term word assaciation is used in a very particular sense in the psycholinguistic literature. (Generally speaking, subjects respond quicker than normal to the word "nurse" if it follows a highly associated word such as "doctor.") We wilt extend the term to provide the basis for a statistical description of a variety of interesting linguistic phenomena, ranging from semantic relations of the doctor/nurse type (content word/content word) to lexico-syntactic co-occurrence constraints between verbs and prepositions (content word/function word). ...

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  • This is a list of about 200 common phrasal verbs, with meanings and examples. Phrasal verbs are usually two-word phrases consisting of verb + adverb or verb + preposition. Think of them as you would any other English vocabulary. Study them as you come across them, rather than trying to memorize many at once. Use the list below as a reference guide when you find an expression that you don't recognize. The examples will help you understand the meanings.

    pdf13p dma100t20ykhtn 21-01-2011 1133 506   Download

  • The units are organised in grammatical categories [Present and past. Articles ami nouns. Prepositions etc.). They are not ordered according to level of difficulty, so the book should not be worked through from beginning co end. It should be used selectively and flexibly in accordance with the grammar syllabus being used and the difficulties students are having.

    pdf7p kathy215 24-09-2010 78 21   Download

  • We present a novel approach to grammatical error correction based on Alternating Structure Optimization. As part of our work, we introduce the NUS Corpus of Learner English (NUCLE), a fully annotated one million words corpus of learner English available for research purposes. We conduct an extensive evaluation for article and preposition errors using various feature sets. Our experiments show that our approach outperforms two baselines trained on non-learner text and learner text, respectively. ...

    pdf9p hongdo_1 12-04-2013 42 5   Download

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