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Computational measures of the acceptability of light verb constructions.

Ryan North

Computational measures of the acceptability of light verb constructions.

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Written in English


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Light verb constructions are a semi-productive class of multiword expression which have not yet been studied computationally in great detail. These constructions combine a restricted set of light verbs (verbs used with a subset of their full semantic features) with a large set of complements; this combination determines the predicate meaning of the expression. In this work we investigate the (semi-)productivity of light verb constructions which employ a predicative noun (a noun that has an argument structure) as their complement. We show that the productivity of these constructions depends on the semantic class of the complement. We develop three novel computational measures for quantifying the acceptability of candidate light verb constructions. Most of these measures meet or exceed the performance of an informed baseline, and reflect distinct trends in productivity along semantic classes and across light verbs. Good correlation and agreement with human judgments of construction acceptability are achieved.

The Physical Object
Pagination100 leaves.
Number of Pages100
ID Numbers
Open LibraryOL20238100M
ISBN 100494021756


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Computational measures of the acceptability of light verb constructions. by Ryan North Download PDF EPUB FB2

Computational Measures of the Acceptability of Light Verb Constructions Ryan North Master of Science Graduate Department of Computer Science University of Toronto Light verb constructions are a semi-productive class of multiword expression which have not yet been studied computationally in great detail.

These constructions combine a restricted. Statistical Measures of the Semi-Productivity of Light Verb Constructions Suzanne Stevenson and Afsaneh Fazly and Ryan North Department of Computer Science University of Toronto Toronto, Ontario M5S 3G4 Canada suzanne,afsaneh,ryan @ Abstract We propose a statistical measure for the degree of acceptability of light verb.

We develop three novel computational measures for quantifying the acceptability of candidate light verb constructions. Most of these measures meet or exceed the performance of an informed baseline, and reflect distinct trends in productivity along semantic classes and across light verbs.

Statistical measures of the semi-productivity of light verb constructions. Pages 1–8. Previous Chapter Next Chapter. ABSTRACT. We propose a statistical measure for the degree of acceptability of light verb constructions, such as take a In Proceedings of the Third International Conference on Intelligent Text Processing and Computational.

Computational measures of the acceptability of light verb constructions. By and Ryan North and Ryan North. Abstract. Light verb constructions are a semi-productive class of multiword expression which have not yet been studied computationally in great detail. These constructions combine a restricted set of light verbs (verbs used with a subset Author: and Ryan North and Ryan North.

In linguistics, a light verb is a verb that has little semantic content of its own and forms a predicate with some additional expression, which is usually a noun.

Common verbs in English that can function as light verbs are do, give, have, make, and names for light verb include delexical verb, vector verb, explicator verb, thin verb, empty verb and semantically weak verb (a.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Light verb constructions (LVCs), such as take a walk and make a decision, are a common subclass of multiword expressions (MWEs), whose distinct syntactic and semantic properties call for a special treatment within a computational system.

In particular, LVCs are formed semi-productively: often a semantically. verb in combining with members of a semantic class should help predict the acceptability of a novel (or a very low-frequency) combination. LVC Acceptability Measure The Base Measure Fazly et al. () measure the acceptability of a com-bination of a verb V and a noun N as an LVC — which we call LVC(N,V)— by estimating the joint.

from book Computational Linguistics and Intelligent Text W e have developed three statistical measures of the acceptability of light verb construc- (such as light verb constructions, or.

Get the latest machine learning methods with code. Browse our catalogue of tasks and access state-of-the-art solutions. Tip: you can also follow us on Twitter. In Hungarian, % of SAUs contain a light verb construction on average whereas in English this percentage is %.

These numbers are comparable to the ratio of light verb constructions in the. Light verb constructions are frequently and productively used in languages as diverse as English (Kerns ), French (Desbiens and Simon ), Spanish (Alba-Salas ), Persian (Karimi We propose a statistical measure for the degree of acceptability of light verb constructions, such as take a walk, based on their linguistic properties.

Our measure shows good correlations with. (e.g., in verb-particle constructions and other phrasal verbs), we believe our approach yields insights for the automatic extraction and representation of MWEs more generally.

2 Acceptability Measures We present three statistical measures for a continuously valued assessment of LVC ac-ceptability. It is important in a computational system to recognize the allowable patterns of combination for a light verb, so that previously unseen LVCs can be han-dled appropriately.

In Section 4, we describe our two-pronged approach to this problem, which involves computational measures for the individual acceptability of potential LVCs, as well as. 参考文献 外部リンク. Miriam Butt's The light verb jungle; Tan Yee Fan's site for light verb constructions; Ryan North's Computational Measures of the Acceptability of Light Verb Constructions; Vincze, Veronika Detecting noun compounds and light verb constructions: a contrastive study.

We train neural networks to perform acceptability judgments—following work by Lawrence et al. (), Lau et al. (), and others—in order to evaluate their acquisition of the kinds of grammatical concepts linguists identify as central to human linguistic contributes to a growing effort to test ANNs’ ability to make fine-grained grammatical distinctions (Linzen et al.,   Stevenson, S., Fazly, A., North, R.: Statistical measures of the semi-productivity of light verb constructions.

In: Proceedings of the ACL Workshop on Multiword Expressions, pp. 1–8 () Google Scholar. in verb-particle constructions and other phrasal verbs), we believe our approach yields insights for the automatic extraction and representation of MWEs more generally. 2 Acceptability Measures We present three statistical measures for a continuously valued assessment of LVC ac-ceptability.

Automatic identification of Persian light verb constructions Taslimi, Shiva; Fazly, Afsaneh, and Hamzeh, Ali. Using noun similarity to adapt an acceptability measure for Persian light verb constructions, Poster presented at the Language Resources and Computational methods for corpus-based analysis of multiword verbs.

Highly frequent and highly polysemous verbs, such as give, take, and make, pose a challenge to automatic lexical acquisition methods. These verbs widely participate in multiword predicates (such as light verb constructions, or LVCs), in which they contribute a broad range of figurative meanings that must be recognized.

Here we focus on two properties that are key to the computational. Multiword expressions pose a challenge to the development of large-scale, semantically-rich Natural Language Processing (NLP) systems.

We use a bilingual parallel corpus for automatically extracting Light Verb Constructions (LVCs), a very common type of multiword expressions in many languages, including Persian. This study implements an automated parser-based approach to the investigation of light verb constructions.

The database consisting of ICE-GB and ICE-IRE is used to obtain qualitative and quantitative results on the use of light verb structures. The study explains and evaluates the steps employed to optimize parser output in detecting open lists of light verb constructions.

Views on the acceptability of semi-compositional constructions. 86 Semi-compositional constructions vs. verbal counterparts 87 Differences between semi-compositional constructions and their verbal coun. Figure 2: Number of light verbs that occur with a unique noun.

(t=) Figure 2 shows a `long tail', where a large number of nouns occur with just one light verb, about 1/4th of the data consists of nouns that alternate with more than one light verb.

These alternations show that a collocational measure that only looks at the bigram occurrences may. Traditional theories of grammar, as well as computational modelling of language acquisition, have focused either on aspects of word learning, or grammar learning. Work on intermediate linguistic constructions (the area between words and combinatory grammar rules) has been very limited.

Light verb constructions are identified based on collocational associations calculated from corpus. • Constructional senses of the light verb xordan are classified using behavioral profile analysis. xordan-derived light verb constructions are semantically motivated by one of the two senses EAT or COLLIDE.

Frequent patterns can form light verb constructions in spite of being. This study investigates light verb constructions in sample corpora from Old- Middle- and Early Modern English. The use of one coherent definition of light verb constructions throughout these periods allows direct comparison of the overall structures and of the light verbs used.

The comparison shows that frequencies are highest in the Middle English texts and decrease in the Early. Extending corpus-based identification of light verb constructions using a supervised learning framework. Paper presented at the Proceedings of the EACL workshop on Multi-word-expressions in a multilingual context (MWEmc), Trento, Italy.

Keywords: light verb constructions, corpus linguistics, computational linguistics, automatic parsing, collocation measures, British English, Irish English. Introduction A considerable amount of theoretical work has been carried out on the use of light verb.

tionality and acceptability measures, the collection of human judgments to which the measures will be compared, experimental results, and discussion.

2 Compositionality of Light Verbs Linguistic Properties: Syntactic Flexibility We focus on a broadly-documented subclass of light verb constructions, in which the complement is an. Yuancheng Tu, Dan Roth. Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World.

event structure of light verb constructions and of argument sharing (see Wiese,for a formal semantic representation that captures this, and Culicover and Jackendoff,section for a different formal approach based on similar intuitions.) A further complication in of light verb constructions is that not any light verb can.

Computational measures of the acceptability of light verb constructions. Couac de fin: Dinosaur comics. Duck hunt: Écureuillette contre l'univers Marvel: Finn: Gil ireun sigan yeohaengja reul wihan munmyeong geonseol gaideu: Hora de aventuras: How to be a T.

Rex: How to invent everything: a survival guide for the stranded time traveler. In linguistics, grammaticality is determined by the conformity to language usage as derived by the grammar of a particular speech notion of grammaticality rose alongside the theory of generative grammar, the goal of which is to formulate rules that define well-formed, grammatical, rules of grammaticality also provide explanations of ill-formed, ungrammatical.

verbs. The term “light verb” first occurs in Jespersen [1] and Cattell [2].A light verb is a verb (usually a frequent verb with a very general meaning) which, when combined with certain complements, loses some of its normal semantics: such usages are said to be semantically bleached[3].Light verb constructions (hereafter LVCs) is a.

Jingxia Lin, Hongzhi Xu, Menghan Jiang, Chu-Ren Huang. Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing. A class-based acceptability measure for persian light verb constructions S Taslimipoor, A Fazly, A Hamzeh The 16th CSI International Symposium on Artificial Intelligence and Signal This book examines in detail the acceptability status of sentences in the following five English constructions, and elucidates the syntactic, semantic, and functional requirements that the constructions must satisfy in order to be appropriately used: There-Construction, (One’s) Way Construction, Cognate Object Construction, Pseudo-Passive.

Electronic library. Download books free. Finding books | B–OK. Download books for free. Find books. An analysis of the linguistic properties of light verbs allows us to create paraphrasing patterns that map different light verbs into 10 simple forms. Of these 10 forms, 7 convert complex noun-particle-verb structures into simple predicative forms.cases of light verb constructions in English and German.

For a long time, in both the English and German research tradition, light verb constructions have been mainly discussed in style guides. Most often, the complaint was that what can be expressed by a light verb construction (such as to give assistance) can also easily be.2.

Persian light verb constructions and machine translation Persian light verb constructions consist of a preverbal element such as a noun, adjective or adverbial element, that combines with a light or “semantically bleached” verb to form a single predicate in terms of argument structure and semantic interpretation.

However, these.