scholarly journals Memory operations that support language comprehension: Evidence from verb-phrase ellipsis.

2009 ◽  
Vol 35 (5) ◽  
pp. 1231-1239 ◽  
Author(s):  
Andrea E. Martin ◽  
Brian McElree
Keyword(s):  
Language Comprehension ◽  
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>

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 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.

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