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How Often Do Large Language Models Agree with Each Other-And with the Truth? A Consensus- and Complexity-Stratified Analysis of Data Extraction for Neuroimaging AI. [PDF]
Sanlier N +13 more
europepmc +1 more source
Data-Driven Pressure Drop Prediction in Corrugated Pipe Extrusion: A Production-Based Power Law Approach. [PDF]
Cinquini M, Ramorino G, Gobetti A.
europepmc +1 more source
The Dry Eye dAily Life (DEAL) Questionnaire: Psychometric Validation of a New Instrument for Measuring the Impact of Dry Eye on Daily Life and Patient Satisfaction While Using Eye Drops. [PDF]
Duracinsky M +5 more
europepmc +1 more source
Pro-drop parameter, universal grammar and second language acquisition of Chinese and English
openaire +2 more sources
Restricted pro drop in Early Modern Dutch [PDF]
In this paper, we argue that Early Modern Dutch allowed pro drop, despite the fact that the language has only poor agreement. This provides a direct counterexample to the standard view that Italian-style pro drop is subject to a condition of grammatical ...
Ad Neeleman
exaly +2 more sources
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THE “PRO-DROP” PARAMETER IN ADULT SECOND LANGUAGE ACQUISITION
Language Learning, 1985In this paper, it is proposed that adults learning second languages have particular problems when their mother tongue has activated a parameter of Universal Grammar which is not operative in the second language. It is suggested that the learner will carry the parameter over from L1 to L2, causing transfer errors.
Lydia White
exaly +2 more sources
Yes-No Answers, Partial Pro-drop Languages and Machine Translation
AbstractThis paper addresses the automatic translations of verbal answers to yes-no questions from partial pro-drop languages (Brazilian Portuguese and Russian) into a non-pro-drop language (English). The outputs provided by standard statistical machine translations are mostly grammatically inaccurate or semantic-pragmatically inadequate.
exaly +2 more sources

