Traduction automatique des noms propres de l’anglais et du français vers le vietnamien : analyse des erreurs et quelques solutions

Machine translation (MT) has increasingly become an indispensable tool for decoding themeaning of a text from a source language into a target language in our current information and knowledgeera. In particular, MT of proper names (PN) plays a crucial role in providing the specific and preciseidentification of persons, places, organizations, and artefacts through the languages. Despite a largenumber of studies and significant achievements of named entity recognition in the NLP communityaround the world, there has been almost no research on PNMT for Vietnamese language. Due to the different features of PN writing, transliteration or transcription and translation from a variety of languages including English, French, Russian, Chinese, etc. into Vietnamese, the PNMT from those languages into Vietnamese is still challenging and problematic issue. This study focuses on theproblems of English-Vietnamese and French-Vietnamese PNMT arising from current MT engines. First,it proposes a corpus-based PN classification, then a detailed PNMT error analysis to conclude with somepre-processing solutions in order to improve the MT quality. Through the analysis and classification of PNMT errors from the two English-Vietnamese and French-Vietnamese parallel corpora of texts with PNs, we propose solutions concerning two major issues:(1)corpus annotation for preparing the pre-processing databases, and (2)design of the pre-processingprogram to be used on annotated corpora to reduce the PNMT errors and enhance the quality of MTsystems, including Google, Vietgle, Bing and EVTran. The efficacy of different annotation methods of English and French corpora of PNs and the results of PNMT errors before and after using the pre-processing program on the two annotated corporaare compared and discussed in this study. They prove that the pre-processing solution reducessignificantly PNMT errors and contributes to the improvement of the MT systems’ for Vietnameselanguage.Dans l'ère de l'information et de la connaissance, la traduction automatique (TA) devientprogressivement un outil indispensable pour transposer la signification d'un texte d'une langue source versune langue cible. La TA des noms propres (NP), en particulier, joue un rôle crucial dans ce processus,puisqu'elle permet une identification précise des personnes, des lieux, des organisations et des artefacts àtravers les langues. Malgré un grand nombre d'études et des résultats significatifs concernant lareconnaissance d'entités nommées (dont le nom propre fait partie) dans la communauté de TAL dans lemonde, il n'existe presque aucune recherche sur la traduction automatique des noms propres (TANP) pourle vietnamien. En raison des caractéristiques différentes d'écriture de NP, la translittération ou la transcription etla traduction de plusieurs de langues incluant l'anglais, le français, le russe, le chinois, etc. vers levietnamien, le TANP de ces langues vers le vietnamien est stimulant et problématique. Cette étude seconcentre sur les problèmes de TANP d’anglais vers le vietnamien et de français vers le vietnamienrésultant du moteurs courants de la TA et présente les solutions de prétraitement de ces problèmes pouraméliorer la qualité de la TA. A travers l'analyse et la classification d'erreurs de la TANP faites sur deux corpus parallèles detextes avec PN (anglais-vietnamien et français-vietnamien), nous proposons les solutions concernant deuxproblématiques importantes: (1) l'annotation de corpus, afin de préparer des bases de données pour leprétraitement et (2) la création d'un programme pour prétraiter automatiquement les corpus annotés, afinde réduire les erreurs de la TANP et d'améliorer la qualité de traduction des systèmes de TA, tels queGoogle, Vietgle, Bing et EVTran. L'efficacité de différentes méthodes d'annotation des corpus avec des NP ainsi que les tauxd'erreurs de la TANP avant et après l'application du programme de prétraitement sur les deux corpusannotés est comparés et discutés dans cette thèse. Ils prouvent que le prétraitement réduitsignificativement le taux d'erreurs de la TANP et, par la même, contribue à l'amélioration de traductionautomatique vers la langue vietnamienne

STUDY ON REMOVING COLOR IN THE EXTRACT SOLUTION FROM VEGETABLES FOR ANALYZING ORGANOCHLORIDE PESTICIDES RESIDUE IN HANOI MARKETS

Joint Research on Environmental Science and Technology for the Eart

MEDICAL STUDENTS’ EVALUATION OF AN ENGLISH FOR SPECIFIC PURPOSES COURSEBOOK: A CASE IN VIETNAM

The current study investigates students’ evaluation of the English for Specific Purposes (ESP) coursebook taught at a medical college in the Mekong Delta, Vietnam. After using it for a year, the users, including medical students and their teachers, have given some unofficial feedback on the book. This study provided insightful official information about how its student users perceive the coursebook they were adopting. Data on the evaluations of the ESP coursebook were gained from questionnaires administered to 166 students majoring in nursing and pharmacy in charge of ESP programs. Semi-structured interviews were employed with four students to get more specific apprehension. The results of this study indicated that students were satisfied with the ESP coursebook in terms of the covering of four skills, the presence of vocabulary and grammar, relevant content, understandable social and cultural context, suitability for mix-level students. In addition, participants perceived that communicative skills were not sufficiently presented, examples in grammar were not more interesting, the illustrations were not diverse and enough, and the cover was simple but not appealing. Suggestions regarding the pedagogical implications for the adoption and evaluation of the coursebook were discussed

A STUDY OF INDONESIA’S STOCK MARKET: HOW PREDICTABLE IS IT?

Using monthly data from January 1995 to December 2017, this paper tests whetherIndonesian stock index returns are predictable. In particular, we use eight macrovariables to predict the Indonesian composite and six sectoral index returns using thefeasible generalized least squares estimator. Our results suggest that the Indonesianstock index returns are predictable. However, the predictability depends not only onthe macro predictor used but also on the indexes examined. Second, we find that themost popular predictor is the exchange rate, followed by the interest rate. Finally, ourmain findings hold for a number of robustness tests.Using monthly data from January 1995 to December 2017, this paper tests whetherIndonesian stock index returns are predictable. In particular, we use eight macrovariables to predict the Indonesian composite and six sectoral index returns using thefeasible generalized least squares estimator. Our results suggest that the Indonesianstock index returns are predictable. However, the predictability depends not only onthe macro predictor used but also on the indexes examined. Second, we find that themost popular predictor is the exchange rate, followed by the interest rate. Finally, ourmain findings hold for a number of robustness tests

STATE PROBLEM OF BALANCING SEWING LINE OF INDUSTRIAL KNITTED PRODUCTS

Line balancing is always a big problem appearing in industrial production. Manual balancing of industrial sewing products takes a long time to give results, which depends on the experience of the sewing line manager, moreover, the efficiency is not necessarily optimal. Digital conversion will help find a solution to balance the sewing line more quickly, accurately, and optimally. This study presents the statements of the problem of balancing knitted garment lines in the industry with the line balancing process according to the method of Hanoi University of Science and Technology (HUST) and BSL-HUST-1 software, which is the software designed and built by our research group. For the balancing calculation, three groups of input data were defined for the comparison of balancing efficiency among the HUST method, the software method, and the method used traditionally by the companies. The line's capacity is determined as the total production amount in a shift, and the shift time is figured accordingly following each factory's rules. The total number of workers is an essential factor. Also, the cycle time is one of the important factors for balancing the sewing line

A Bibliometrics study on homework from 1977 to 2020

Homework effectiveness has long been a controversial issue for many educators, schools, and parents. Many researchers have tried to prove that homework is not just a nuisance we all have to face throughout the years but really can build character and good for students, like teachers and parents typically say. This bibliometrics review studied 429 documents related to homework in education from the Clarivate Web of Science from 1977 to 2020. This study aims to record the volume, growth pattern of homework literature and identify critical authors, publications, and topics of this knowledge base. The review found that the homework literature has grown remarkably over the past 43 years, with the most cited authors are from the US, Germany, and Portugal. Using co-citation, co-occurrence and bibliographic coupling analysis from the VOSviewer program, this research also indicated significant results and suggestions for future research. The findings showed that homework literature increased gradually in volume, with the most publications originated in the USA, and critical authors were Cooper, Xu, and Trautwein. Additionally, five common research topics were illustrated, namely the effect of homework and its measurement, homework environment, homework tasks and feedback, family involvement in homework, and time and effort

Green Organic Synthesis of N-Methylpyrrolidine

N-methylpyrrolidine was successfully synthesized in an aqueous medium by using methylamine and 1,4-dibromobutane in the presence of catalyst K2CO3 at a moderated temperature. Here, N-methylpyrrolidine was firstly synthesized via the green chemistry process, in which both the water solvent and potassium carbonate catalyst were inexpensive and environmentally friendly. Also, the reaction temperature was quite moderated at 900C. As a result, the current synthesis process was highly potential to implement in practice. Since the product yield directly depended on the operating conditions, the catalysts, temperature, ratio of reactants and solvent would be critical factors. In the present study, the structure of N-methylpyrrolidine product was confirmed by using the IR, 1H-NMR, 13C-NMR and Gas Chromatography-Mass spectroscopy (GC-MS)

Two decades of studies on learning management system in higher education: A bibliometric analysis with Scopus database 2000-2020

Over the past twenty years, using learning management systems in higher education has attracted increasing interest from researchers around the globe. In this context, the current study aimed to explore the volume, growth trajectory, and geographic distribution of learning management systems in higher education literature, along with identifying impactful authors, sources, and publications, and highlight emerging research issues. The authors conducted bibliometric analysis on 1334 documents, related to the use of learning management systems in the context of higher education, extracted from Scopus database. The findings show a rapidly growing knowledge base on learning management systems in higher education, especially intensely in the years 2015-2020 and primarily from research in developed societies. This flourishing is consistent with the development trend of international education and the strong development of technology. In addition, the core literature was identified based on the volume of publications and citations. The results also reveal the emerging intellectual structure of the field and provide points of reference for scholars studying the discipline. This paper offers a knowledge map for future research assessments of learning management systems in higher education

Extract and fraction of cashew nut testa ameliorate the hyperglycemic mice induced by Streptozotocin and high-fat diet

Drug strategy is a standard method for treating type 2 diabetes mellitus (T2D), a non-communicable disease with increasing prevalence, which may cause side effects. Therefore, natural compounds with limited adverse effects have come back into vogue for treating T2D. This study aims to evaluate the effects on rehabilitating hyperglycemic mice of cashew nut testa (husk) extract and fraction known as potential bio-substances for improvement in T2D. First, the hyperglycemic mice were induced with a high-fat diet (HFD) for 4 weeks and then were injected with streptozotocin (STZ, dozen for injection was 40 mg/kg/week) for 2 weeks. Next, the confirmed hyperglycemic mice were treated with pioglitazone (HG+PG group), total extract (HG+TE group), and saponin-rich fraction (HG+SRF group) for 3 weeks. Then, the evaluation was based on body mass; blood glucose (BG) level; BG tolerance, lipid profile, pancreatic histology and the expression IRS-1 in the pancreas. The results showed that body mass and BG level significantly increased in hyperglycemic mice. After substance treatment, there was no change in body mass in TE and SRF groups. However, BG level of HG+TE group mice significantly decreased compared to hyperglycemic mice and only BG tolerance of HG+SRF group was improved. Besides, HG+TE and HG+SRF groups modulated the triglyceride, HDL and LDL close to those expressed in normal mice. In addition, histological images of the pancreas revealed the restoration in both HG+TE and HG+SRF groups. Simultaneously, the IRS-1 expression in HG+TE group pancreas was restored to its expression in normal mice. These results demonstrate that the TE and SRF of cashew nut testa could ameliorate BG, lipid profile and pancreatic IRS-1 expression and restore the damaged pancreas and islets in hyperglycemic mice