Indefinites in Verb Phrase Ellipsis

2004 ◽  
Vol 35 (2) ◽  
pp. 344-353 ◽  
Author(s):  
Bernhard Schwarz
Keyword(s):  
Verb Phrase Ellipsis ◽  
Verb Phrase

scholarly journals Exploring the steps of Verb Phrase Ellipsis

2016 ◽  
Author(s):  
Zhengzhong Liu ◽  
Edgar Gonzàlez Pellicer ◽  
Daniel Gillick
Keyword(s):  
Verb Phrase Ellipsis ◽  
Verb Phrase

scholarly journals THE TRANSLATION OF ELLIPSIS AND EVENT REFERENCE IN JK ROWLING'S HARRY POTTER AND THE GOBLET OF FIRE

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Adi Loka Sujono
Keyword(s):  
Content Analysis ◽  
Qualitative Content Analysis ◽  
Harry Potter ◽  
Analysis Method ◽  
Verb Phrase Ellipsis ◽  
Verb Phrase ◽  
Literal Translation ◽  
Content Analysis Method

<p>The study aims to investigate the translation of ellipsis and event reference in JK Rowling‘s‘ Harry Potter and the Goblet of Fire. In this present study, a qualitative content analysis method was employed. In translating the ellipsis and event reference, semantic and syntactic referents should be taken into account. Concerning with reference to eventualities, three forms of referents namely verb phrase ellipsis, so anaphora and pronominal event reference are analysed. Some adjustments such as literal translation, explicitation, omission, and the like are made.</p>

scholarly journals Subdeletion in verb phrase ellipsis

1996 ◽  
Author(s):  
Paul G. Donecker
Keyword(s):  
Verb Phrase Ellipsis ◽  
Verb Phrase

Verb-stranding verb phrase ellipsis in Japanese

2016 ◽  
Vol 25 (2) ◽  
pp. 113-142 ◽  
Author(s):  
Kenshi Funakoshi
Keyword(s):  
Verb Phrase Ellipsis ◽  
Verb Phrase

scholarly journals A Neural Network Approach to Verb Phrase Ellipsis Resolution

2019 ◽  
Vol 33 ◽  
pp. 7468-7475
Author(s):  
Wei-Nan Zhang ◽  
Yue Zhang ◽  
Yuanxing Liu ◽  
Donglin Di ◽  
Ting Liu
Keyword(s):  
Feature Representation ◽  
Neural Models ◽  
Neural Network Approach ◽  
Verb Phrase Ellipsis ◽  
Verb Phrase ◽  
Auxiliary Verbs ◽  
Verb Phrases ◽  
Automatic Composition ◽  
End To End ◽  
Auxiliary Verb

Verb Phrase Ellipsis (VPE) is a linguistic phenomenon, where some verb phrases as syntactic constituents are omitted and typically referred by an auxiliary verb. It is ubiquitous in both formal and informal text, such as news articles and dialogues. Previous work on VPE resolution mainly focused on manually constructing features extracted from auxiliary verbs, syntactic trees, etc. However, the optimization of feature representation, the effectiveness of continuous features and the automatic composition of features are not well addressed. In this paper, we explore the advantages of neural models on VPE resolution in both pipeline and end-to-end processes, comparing the differences between statistical and neural models. Two neural models, namely multi-layer perception and the Transformer, are employed for the subtasks of VPE detection and resolution. Experimental results show that the neural models outperform the state-of-the-art baselines in both subtasks and the end-to-end results.

scholarly journals Voice Mismatch Tolerance in Verb Stranding Verb Phrase Ellipsis

2019 ◽  
Vol 11 (5) ◽  
pp. 298
Author(s):  
Nimer Abusalim
Keyword(s):  
Recent Literature ◽  
Verb Phrase Ellipsis ◽  
Verb Phrase ◽  
External Variables ◽  
Main Verb ◽  
Verb Raising

Verb Phrase Ellipsis, in particular, is taken to be very rare in languages other than English. However, recent literature has pointed out that a Verb Phrase Ellipsis-like construction does in fact exist in other languages, but may be masked due to the fact that the main verb raises to INFL in such languages, a process known as Verb Stranding Verb Phrase Ellipsis (VSVPE). This paper addresses two main issues: 1) whether such a construction in Hebrew patterns with VPE in English or with Pseudogapping; via an examination of voice mismatch tolerance following Merchant (2013) 2) After establishing that Hebrew is a VSVPE language and controlling for external variables such as independent object drop, this paper tests which constituent in particular is targeted in the ellipsis process. It is concluded that VSVPE languages target vP for ellipsis, not VP, nor PP, as opposed to recent accounts. In other words, they pattern with Pseudogappig in including higher constituents (vP, not VP) in the ellipsis) more than they do with VPE. Other Verb-Raising to INFL languages are predicted to behave similarly with respect to which constituent is targeted for ellipsis. 

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