Deeper Roots: Strengthening Community Tenure Security and Community Livelihoods

Utilizes concrete experiences from Bolivia, Colombia, Brazil, South Africa, Tanzania, India, Nepal, Indonesia, and the Philippines to highlight emerging issues, and offers strategies for advancing community forest tenure security

A human evaluation of English-Irish statistical and neural machine translation

With official status in both Ireland and the EU, there is a need for high-quality English-Irish (EN-GA) machine translation (MT) systems which are suitable for use in a professional translation environment. While we have seen recent research on improving both statistical MT and neural MT for the EN-GA pair, the results of such systems have always been reported using automatic evaluation metrics. This paper provides the first human evaluation study of EN-GA MT using professional translators and in-domain (public administration) data for a more accurate depiction of the translation quality available via MT

A crowd-sourcing approach for translations of minority language user-generated content (UGC)

Data sparsity is a common problem for machine translation of minority and less-resourced languages. While data collection for standard, grammatical text can be challenging enough, efforts for collection of parallel user-generated content can be even more challenging. In this paper we describe an approach to collecting English↔Irish translations of user-generated content (tweets) that overcomes some of these hurdles. We show how a crowd-sourced data collection campaign, which was tailored to our target audience (the Irish language community), proved successful in gathering data for a niche domain. We also discuss the reliability of crowd-sourcing English↔Irish tweet translations in terms of quality by reporting on a self-rating approach along with qualified reviewer ratings

Leveraging backtranslation to improve machine translation for Gaelic language

Irish and Scottish Gaelic are similar but distinct languages from the Celtic language family. Both languages are underresourced in terms of machine translation (MT), with Irish being the better resourced. In this paper, we show how backtranslation can be used to harness the resources of these similar low-resourced languages and build a Scottish-Gaelic to English MT system with little or no highquality bilingual data

SMT versus NMT: preliminary comparisons for Irish

In this paper, we provide a preliminary comparison of statistical machine translation (SMT) and neural machine translation (NMT) for English→Irish in the fixed domain of public administration. We discuss the challenges for SMT and NMT of a less-resourced language such as Irish, and show that while an out-of-the-box NMT system may not fare quite as well as our tailor-made domain-specific SMT system, the future may still be promising for EN→GA NM

Health conditions of heavy vehicle drivers involved in a crash in Western Australia: a retrospective study using linked data

Issue addressed:This retrospective study investigated the health conditions of a cohort of heavy vehicle drivers involved in a crash in Western Australia.Methods: Hospital separation records of heavy vehicle drivers admitted to hospital as a result of a road crash between 1 January 1988 and 31 December 2000 in Western Australia were analysed. Heavy vehicle drivers involved in a crash were first identified using the Western Australian Road Injury Database before linking to their hospital records. All hospital admissions for each driver admitted to hospital for a crash at least once during the study period were subsequently retrieved from the Health Services Linked Database.Results: There were 146 heavy vehicle drivers in the cohort. A total of 964 distinct in-patient episodes (the collection of all hospital admissions for a single event) were recorded for these drivers, with a minimum of one and a maximum of 84 hospital in-patient episodes per driver. The mean number of in-patient episodes for each driver was seven (SD=8.44), including an in-patient episode for a heavy vehicle crash.Conclusion: The evidence presented for the cohort of heavy vehicle drivers hospitalised as a result of road crash confirms that these drivers are characterised with health conditions such as musculoskeletal problems and digestive disorders

Hybrid Teaching vs. Traditional Teaching in Computer Engineering Courses: What works and What does not work?

This study compares student learning outcomes from two instructional approaches: hybrid vs. traditional teaching method. The study applies a previously developed framework in order to assess the learned curriculum for the same upper division computer engineering course. It also analyzes how it is aligned with the intended curriculum. The same undergraduate computer engineering course was taught by two different instructors during two different semesters. Both instructors have extensive technical background and many years of practical engineering experiences in the related field. Both classes used an identical textbook, delivered similar set of course topics, had similar lab setup, required homework assignments as well as a semester-long team project. The key difference is the use of online lectures. Based on students’ responses to series of surveys and the result of final grades, this study compares their development in content knowledge and cognitive abilities to determine the effectiveness of the instructional approach. The study provides an interest in finding ways to truly utilize technology for improving student learning, particularly their development of cognitive abilities. The study also seeks the impact of the technology on lecturing styles and in-classroom dynamics. Furthermore, this study will help gain insights into instructional approaches concerning teaching and learning along the technological dimension

Impacts of neighbourhood planning in England

Prof. Gavin Parker (University of Reading) Dr Matthew Wargent (University of Reading) Dr Kat Salter (University of Birmingham) Dr Mark Dobson (University of Reading) Dr Tessa Lynn (University of Reading) Dr Andy Yuille (Lancaster University) and Navigus Plannin

The Ursinus Weekly, November 11, 1963

Carol Heber, Homecoming queen; Emmert receives Walker trophy • Catherine Drinker Bowen to be guest speaker at Forum • WSGA meeting set for Sunday • Past UC speaker in protest against Mme. Nhu before fall of regime • Volunteers for St. Gabriels to meet Tuesday • Alumni contribute $220,000 to Centennial Fund • Student rumor clarified • 17 men go Greek in Fall rushing • AAUW discusses community college • Professor chief editor of new publication • Ursinus gets portrait of Henry T. Spangler • Folksing begins weekend • MSGA sponsors bus to next game • Editorial: Women, it\u27s now or never; Kaffee Klatsch; Complaint for complaint\u27s sake? • Have you read: Travels with Charley • Swedish student studying here • Art class tours Philly museum • Letters to the editor • Excellent concert heard by students • Colgan views Cuba as potential source of war • Republicans view election returns • Thai student to speak at Kaffee Klatsch Friday • Ursinus Band: Review & outlook • Greek gleanings • Senior women reply to WSGA questionnaire with emphatic views • Jobs open for political interns • Parsons speaks on Daniel Claus • Outing Club on spelunking trip • Alpha Phi Omega plans open meeting • Bears trounce Fords 32 to 8 as Emmert stars in Homecoming tilt • Player of the week interview: Ron Emmert • UC puts three on college team • Soccer team beats La Salle, alumni • JV and 3rd teams take Immaculatahttps://digitalcommons.ursinus.edu/weekly/1257/thumbnail.jp