Multilingual generation of controlled languages

We describe techniques based on natural language generation which allow a user to author a document in controlled language for multiple natural languages. The author is expected to be an expert in the application domain but not in the controlled language or in more than one of the supported natural languages. Because the system can produce multiple expressions of the same input in multiple languages, the author can choose among alternative expressions satisfying the constraints of the controlled language. Because the system offers only legitimate choices of wording, correction is unnecessary. Consequently, acceptance of error reports and corrections by trained authors are non-issues

Do Pre-registration and Pre-analysis Plans Recue p-Hacking and Publication Bias? Evidence from 15,922 Tests Statistics and Suggestions for Improvement

Pre-registration is regarded as an important contributor to research credibility. We investigate this by analyzing the pattern of test statistics from the universe of randomized controlled trials (RCT) studies published in 15 leading economics journals. We draw two conclusions: (a) Pre-registration frequently does not involve a pre-analysis plan (PAP), or sufficient detail to constrain meaningfully the actions and decisions of researchers after data is collected. Consistent with this, we find no evidence that pre-registration in itself reduces p-hacking and publication bias. (b) When pre-registration is accompanied by a PAP we find evidence consistent with both reduced p-hacking and publication bias.<br/

Do Pre-registration and Pre-analysis Plans Recue p-Hacking and Publication Bias?:Evidence from 15,992 Test Statistics and Suggestions for Improvement

Pre-registration is regarded as an important contributor to research credibility. We investigate this by analyzing the pattern of test statistics from the universe of randomized controlled trials (RCT) studies published in 15 leading economics journals. We draw two conclusions: (a) Pre-registration frequently does not involve a pre-analysis plan (PAP), or sufficient detail to constrain meaningfully the actions and decisions of researchers after data is collected. Consistent with this, we find no evidence that pre-registration in itself reduces p-hacking and publication bias. (b) When pre-registration is accompanied by a PAP we find evidence consistent with both reduced p-hacking and publication bias.<br/

ScrumSourcing: Challenges of Collaborative Post-editing for Rugby World Cup 2019

This paper describes challenges facing the ScrumSourcing project to create a neural machine translation (NMT) service aiding interaction between Japanese- and English-speaking fans during Rugby World Cup 2019 in Japan. This is an example of «domain adaptation». The best training data for adapting NMT is large volumes of translated sentences typical of the domain. In reality, however, such parallel data for rugby does not exist. The problem is compounded by a marked asymmetry between the two languages in conventions for post-match reports; and the almost total absence of in-match commentaries in Japanese. In post-editing the NMT output to incrementally improve quality via retraining, volunteer rugby fans will play a crucial role in determining a new genre in Japanese. To avoid de-motivating the volunteers at the outset we undertake an initial adaptation of the system using terminological data. This paper describes the compilation of this data and its effects on the quality of the systems’ output.Este documento describe los retos a los que se enfrenta el proyecto ScrumSourcing para crear un servicio de traducción automática neuronal (NMT) que ayude a la interacción entre los aficionados de habla japonesa e inglesa durante la Copa Mundial de Rugby de 2019 en Japón. Este es un ejemplo de «adaptación al dominio». Los mejores datos de entrenamiento para adaptar la NMT son grandes volúmenes de oraciones traducidas típicas del dominio. Sin embargo, en la realidad no existen tales datos paralelos para el rugby. El problema se agrava por una marcada asimetría entre las dos lenguas en las convenciones para los informes posteriores al partido y la ausencia casi total de comentarios emitidos en directo durante el partido en japonés. En la post-edición de la producción de la NMT para mejorar de forma incremental la calidad a través del reentrenamiento, los voluntarios aficionados al rugby desempeñarán un papel crucial en la determinación de un nuevo género en japonés. Para evitar desmotivar a los voluntarios desde el principio, emprenderemos una adaptación inicial del sistema utilizando datos terminológicos. Este documento describe la compilación de estos datos y sus efectos en la calidad de la producción de los sistemas

Presentation by the University of Nevada, Las Vegas: College of Fine Arts

Program listing performers and works performe

Predicting university performance in psychology: the role of previous performance and discipline-specific knowledge

Recent initiatives to enhance retention and widen participation ensure it is crucial to understand the factors that predict students' performance during their undergraduate degree. The present research used Structural Equation Modeling (SEM) to test three separate models that examined the extent to which British Psychology students' A-level entry qualifications predicted: (1) their performance in years 1-3 of their Psychology degree, and (2) their overall degree performance. Students' overall A-level entry qualifications positively predicted performance during their first year and overall degree performance, but negatively predicted their performance during their third year. Additionally, and more specifically, students' A-level entry qualifications in Psychology positively predicted performance in the first year only. Such findings have implications for admissions tutors, as well as for students who have not studied Psychology before but who are considering applying to do so at university