Reviewerly/exHarmony huggingface dataset:
Glossary functionality in commercial machine translation: does it help? A first step to identify best practices for a language service provider

Recently, a number of commercial Machine Translation (MT) providers have started to offer glossary features allowing users to enforce terminology into the output of a generic model. However, to the best of our knowledge it is not clear how such features would impact terminology accuracy and the overall quality of the output. The present contribution aims at providing a first insight into the performance of the glossary-enhanced generic models offered by four providers. Our tests involve two different domains and language pairs, i.e. Sportswear En–Fr and Industrial Equipment De–En. The output of each generic model and of the glossaryenhanced one will be evaluated relying on Translation Error Rate (TER) to take into account the overall output quality and on accuracy to assess the compliance with the glossary. This is followed by a manual evaluation. The present contribution mainly focuses on understanding how these glossary features can be fruitfully exploited by language service providers (LSPs), especially in a scenario in which a customer glossary is already available and is added to the generic model as is.
How we changed attitudes towards reading with the Complete Literacy Solution from Renaissance

In 2017, Accelerated Reader and Star Reading was brought in to support the schools literacy strategy and promote more positive attitudes towards ...
KLASIFIKASI JENIS PELANGGARAN PADA PELANGGAN PLN AREA CENGKARENG MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOUR

Many violations of the electricity consumption that occurred in the community causes many reports of violations. There are 4 types of violations on the electricity consumption that are regulated by PT. PLN. The types are type of violations P1, type of violations P2, type of violations P3 and the type of violations P4. The staff having difficulty to classifying the violations that occur to 4 types of violations. Therefore this research is made to classify the violation that belong to the 4 types of violation. Theresearch uses K-Nearest Neighbour algorithm with a similarity of text approach using Cosine Similarity. Before classification is done the data will go through the text preprocessing stage. Based on the result test of 200 data, the test get an accurationvalue of 47% with Confusion Matrix Method. Ther result from this study is to determine the result of the classification based on BAP form P2TL officer for the level or type of violation on customer of PT. PLN Area Cengkareng.
GOOD EFL LEARNERS’ MOTIVATION IN SPEAKING ENGLISH

ABSTRACTRoyidah, Chintia Aprelia Rizka (17203163158). Good EFL Learners’Motivation in Speaking English. A Thesis of English Education Department,Faculty of Tarbiyah and Teacher Training, State Islamic Institute (IAIN) ofTulungagung 2020. Advisor: Dr. Erna Iftanti, SS., M.Pd.Keywords: Good EFL Learners, Motivation, SpeakingThere are a lot of factor which influence success in language learning.However, one of the most important factors is the learners’ motivation. Motivationhave important role for the achievement of student learning goals. In line with this,this study tried to investigate the good EFL learner’s motivation in speaking English.This study using qualitative research design, especially in descriptivequalitative. The sample in this study consists of 3 students. The subjects of this studyemployed EFL learners, they are DA, GE and MA. The potential subject chosen fromthe survey and interview the English students from sixth semester at Institut AgamaIslam Negeri (IAIN) Tulungagung. The characteristic of good EFL learner were:active learner, find their own style and has specific strategies of learning. Researchinstrument of this study administering from distributed the questionnaire andinterview to investigate good EFL learners’ motivation in speaking English.This research reveals that the good EFL learners’ motivation in speakingEnglish was derived from intrinsic and extrinsic motivation. The characteristics ofintrinsic motivation such as: (1) enjoy the speaking activities, (2) creates goodbehavior and (3) have specific purpose as their interest in speaking activities. Thefinding also showed that the learners have extrinsic motivation in speaking dividedinto two terms, short-term motivation and long-term motivation. The short-termmotivation was the aim of the learning was to get good grades. In addition, the longterm motivation were to get a scholarship, to be a professional businessman and toget the best job opportunities.
Towards Improving Adversarial Training of NLP Models

Adversarial training, a method for learning robust deep neural networks, constructs adversarial examples during training. However, recent methods for generating NLP adversarial examples involve combinatorial search and expensive sentence encoders for constraining the generated instances. As a result, it remains challenging to use vanilla adversarial training to improve NLP models’ performance, and the benefits are mainly uninvestigated. This paper proposes a simple and improved vanilla adversarial training process for NLP models, which we name Attacking to Training (A2T). The core part of A2T is a new and cheaper word substitution attack optimized for vanilla adversarial training. We use A2T to train BERT and RoBERTa models on IMDB, Rotten Tomatoes, Yelp, and SNLI datasets. Our results empirically show that it is possible to train robust NLP models using a much cheaper adversary. We demonstrate that vanilla adversarial training with A2T can improve an NLP model’s robustness to the attack it was originally trained with and also defend the model against other types of word substitution attacks. Furthermore, we show that A2T can improve NLP models’ standard accuracy, cross-domain generalization, and interpretability.
Comparing Rubin and Pearl's Causal Modeling Frameworks: A Commentary on Markus (2021)

Markus (2021) argues that causal modeling frameworks of Pearl and Rubin are not strongly equivalent, in sense of saying the same thing in different ways. Here I rebut Markus' arguments against strong equivalence. The differences between frameworks are best illuminated not by appeal to their causal semantics, but rather reflect pragmatic modeling choices.
Musical Speech: A Transformer-based Composition Tool.

In this paper, we propose a new compositional tool that will generate a musical outline of speech recorded/provided by the user for use as a musical building block in their compositions. The tool allows any user to use their own speech to generate musical material, while still being able to hear the direct connection between their recorded speech and the resulting music. The tool is built on our proposed pipeline. This pipeline begins with speech-based signal processing, after which some simple musical heuristics are applied, and finally these pre-processed signals are passed through Transformer models trained on new musical tasks. We illustrate the effectiveness of our pipeline -- which does not require a paired dataset for training -- through examples of music created by musicians making use of our tool.
LibGuides: History: Databases by Resource Type

Research in History These pages list CBC and other databases that contain the types of resources most commonly used in historical research.
Clustering categorical data via Hamming distance

Clustering methods have typically found their application when dealing with continuous data. However, in many modern applications data consist of multiple categorical variables with no natural ordering. In the heuristic framework the problem of clustering these data is tackled by introducing suitable distances. In this work, we develop a model-based approach for clustering categorical data with nominal scale. Our approach is based on a mixture of distributions defined via the Hamming distance between categorical vectors. Maximum likelihood inference is delivered through an expectation-maximization algorithm. A simulation study is carried out to illustrate the proposed approach.
ХУДОЖНЬО-ЕСТЕТИЧНА КОМПЕТЕНТНІСТЬ КОРЕКЦІЙНИХ ПЕДАГОГІВ: ОСОБЛИВОСТІ ТА РІВЕНЬ СФОРМОВАНОСТІ

Introduction. The article presents the results of the empirical study aimed at investigating the peculiarities of the formation of artistic- aesthetic competence (AAC) of future correctional teachers. In recent years, domestic and foreign researchers focus on the high relevance, the importance of the formation of students’AAC, but, despite this, universal understanding of the structure of competence, the methods of diagnosis of the construct remain studied at an insufficient level. Meanwhile, the timely diagnosis of the level of formation of individual structural components of competence will allow for systematic control of the formation of AAC. High relevance of competence formation and lack of practical understanding of ways to diagnose the construct form aresearch problem. The purpose of the article is to publish the results of the empirical study aimed at identifying the level of AAC formation of future correctional teachers, based on the usage of theoretically proved diagnostics methods and procedures. The research hypothesis was formulated as follows: the usage of theoretically proved diagnostics methods and procedures allows revealing of the level of formation of individual structural components of AAC. The methods of analysis of theoretical sources, a complex of diagnostics, the method of structural grouping, and quantitative analysis were used. The sample: the participants in this study were 59 students - future correctional teachers. There were 18 males and 41 females. Age of respondents: 17–21 years. As the results of the research, it can be concluded that artistic-aesthetic competence is a complex integral characteristic, in the structure of which it is possible to distinguish cognitive, affective, regulatory, and reflexive components. The results of the study allow us to conclude that all the structural components of the students’ AAC are formed mainly at the middle level. The relatively high levelof development of the affective component reflects the motivation of students to implement creative activities. At the same time, a system of knowledge of the factors, mechanisms of creativity is fragmental, patterns of analysis, perception of works of art aren’t formed, skills of adequate reflection, self-reflection are formed at a low level. The obtained results should be taken into account in the process of developing a pedagogical system aimed at the development of AAC of future correctional teachers
LibGuides: High Impact Practices (HIPS): Technology

LibGuide to explain and illustrate the different HIPS programs at South Piedmont Community College
Non-Gaussian Gaussian Processes for Few-Shot Regression

Gaussian Processes (GPs) have been widely used in machine learning to model distributions over functions, with applications including multi-modal regression, time-series prediction, and few-shot learning. GPs are particularly useful in the last application since they rely on Normal distributions and enable closed-form computation of the posterior probability function. Unfortunately, because the resulting posterior is not flexible enough to capture complex distributions, GPs assume high similarity between subsequent tasks - a requirement rarely met in real-world conditions. In this work, we address this limitation by leveraging the flexibility of Normalizing Flows to modulate the posterior predictive distribution of the GP. This makes the GP posterior locally non-Gaussian, therefore we name our method Non-Gaussian Gaussian Processes (NGGPs). More precisely, we propose an invertible ODE-based mapping that operates on each component of the random variable vectors and shares the parameters across all of them. We empirically tested the flexibility of NGGPs on various few-shot learning regression datasets, showing that the mapping can incorporate context embedding information to model different noise levels for periodic functions. As a result, our method shares the structure of the problem between subsequent tasks, but the contextualization allows for adaptation to dissimilarities. NGGPs outperform the competing state-of-the-art approaches on a diversified set of benchmarks and applications.
WRITING RECOUNT TEXT USING COOPERATIVE SCRIPT: STUDENTS' DIFFICULTIES

The objective of the research is to find out the students' difficulties in learning writing recount text using the cooperative script. This research used a qualitative method and the design was descriptive qualitative. The respondents of the research were 15 tenth grade students of Senior High School in Cikadu. The data were obtained from tests and interviews. The results of the research show that the students' difficulties in learning writing recount text using the cooperative script in mechanics, such as punctuation and capital letter. Implies that mechanic aspect tends to be ignored in learning. Keywords :  Cooperative Script, Writing, Students’ Difficulties
PACMHCI V5, ISS, November 2021 Editorial

It is our great pleasure to welcome you to this issue of the Proceedings of the ACM on Human-Computer Interaction, the second to focus on the contributions from the research community Interactive Surfaces and Spaces (ISS). Interactive Surfaces and Spaces increasingly pervade our everyday life, appearing in various sizes, shapes, and application contexts, offering a rich variety of ways to interact. This diverse research community explores the design, development, and use of new and emerging interactive surface technologies and interactive spaces. The call for articles for this issue on ISS attracted 77 submissions, from all over the world. This issue has 23 papers, 4 submitted in February 2021 and 19 submitted in July 2021. After the winter round, 4 (total of 19 articles, 21.1%) articles were accepted and 5 (26.3%) articles required major revisions. After the summer round, 19 (total of 58 articles, 32.8%) articles were accepted, and 18 (31,0%) articles required major revisions. The editorial committee worked hard over the two iterations of the review process, winter and summer rounds, to arrive at final decisions. In total, counting both the winter and the summer rounds, 23 articles (total of 77 articles, 29.9%) were accepted. All authors of the accepted articles are invited to present at the ISS conference from November 14--17, 2021. This issue exists because of the dedicated volunteer effort of 31 senior editors who served as Associate Chairs (ACs), 105 expert reviewers in the winter round, and 206 expert reviewers in the summer round to ensure high quality and insightful reviews for all articles. Reviewers and committee members were kept constant for papers that submitted to both rounds. The Editorial Board is presented here: https://iss.acm.org/2021/organization/editorial_board
Sensoriality and pupil immersive meaning making in a virtual secondary school: A pedagogical avatarial interaction

We present a study of avatarial interactions in a pedagogical virtual 3D world. We find that there are variations as regards the three dimensions of immersion, symbolic, bodily and social, according to the academic profile of the pupils. The class with a lower mastery of academic skills in maths, French, English and a second language, was found to be more involved with the symbolic immersion aspects, and less with aspects of bodily and social immersion, whereas the class group with a higher mastery of academic skills presented the opposite features. When merging the two class groups, it was the medium high score group that was found to present salient features, namely high indicators as far as the three forms of immersion were concerned.
Educación y virtualidad: una apuesta posible

During 2020 the COVID-19 pandemic disrupted the concrete existence conditions and everyday life of people all around the world. The whole world confronted an unprecedented and unthinkable phenomenon so far. University education was forced to set up new teaching methods: virtual learning environments.Specifically, Supervised Professional Practices (internships) curricular spaces, were challenged to think of on field practices, something usually considered in a face-to-face way, in new and different ways, pushing the boundaries of what was established until then.We are a team of teachers in charge of one of the Supervised Professional Practices (internships), that is part of the 5th year in the Psychology. This paper will try to describe the process of transforming the on field practices into virtual learning environments. We will show the complexity that demanded thinking this practice from the possibile point of view, regardless of the social context of this time.
SISTEM INFORMASI PENJUALAN PADA KEDAI KOPI NIKMAT

Nikmat Coffee Shop has many coffee varieties such as Mandailing Civet Coffee, Toraja Coffee, Java Coffee, and many other varieties of coffee. This shop offers a variety of drinks and scrumptious foods which are also an attraction for visitors who come. The menu needed is like an oxtail soup complete with rice and vegetables, besides that there is also a food menu such as grilled chicken, fried rice and various other drinks. Coffee Shop Favor Sales transactions are still manuals or still use books in registration of transaction results. The calculation of sales transaction data is not accurate and not well recorded, so losses often occur which eventually become large losses. As time goes by, this manual recording will make more data more difficult to manage. One of the facilities that can help owners in managing sales data recording activities is by making a sales information system for the Delicious Coffee Shop. This sales information system is expected to help process coffee shop data so that it can improve and improve sales calculations, manage reports and improve the performance of the delicious coffee shop for customers using a new system that is easy, fast and produces accurate information.
Sentence Structure andWord Relationship Modeling for Emphasis Selection

Emphasis Selection is a newly proposed task which focuses on choosing words for emphasis in short sentences.Traditional methods only consider the sequence information of a sentence while ignoring the rich sentence structure and word relationship information.In this paper, we propose a new framework that considers sentence structure via a sentence structure graph and word relationship via a word similarity graph.The sentence structure graph is derived from the parse tree of a sentence.The word similarity graph allows nodes to share information with their neighbors since we argue that in emphasis selection, similar words are more likely to be emphasized together.Graph neural networks are employed to learn the representation of each node of these two graphs.Experimental results demonstrate that our framework can achieve superior performance.
Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text

Understanding robustness and sensitivity of BERT models predicting Alzheimer’s disease from text is important for both developing better classification models and for understanding their capabilities and limitations. In this paper, we analyze how a controlled amount of desired and undesired text alterations impacts performance of BERT. We show that BERT is robust to natural linguistic variations in text. On the other hand, we show that BERT is not sensitive to removing clinically important information from text.
The role of the possibilities of the influence of traditional and modern art on the self-presentation of future teachers

Current research has considered the possibilities of the influence of traditional and contemporary art on self-presentation among future teachers at the stage of university professional training in the framework of the educational process and students' activities. The purpose of the article is to determine the effectiveness of the implementation of the complex influence of traditional and contemporary art in pedagogical conditions, as a way of organizing and managing the process of forming a culture of self-presentation among future teachers. The research collected data through a questionnaire and the sample consisted of 216 students. The collected data was analysed using statistical methods such as student t-tests and percentages. The main results are that the developed and implemented author's complex of possibilities for the influence of traditional and contemporary art in pedagogical conditions ensures its successful formation in future teachers at the stage of professional training at the university.&#x0D; &#x0D; Keywords: contemporary art; professional training; self-presentation; traditional art.&#x0D;
Os benefícios das orientações de enfermagem no período pré-operatório de cirurgia cardíaca

The aim was to compare the perceptions of patients regarding nursing guidelines in the preoperative period of cardiac surgery with those who did not receive the guidelines. This is a qualitative, descriptive and comparative research, carried out in the first half of 2017 in a private reference clinic in the region. Data were collected from field research and using the Bardin method. It was demonstrated that the nursing guidelines in the preoperative period obtained a satisfactory result for the patient in terms of both psychic and hemodynamics after surgery, whereas in relation to those who were not instructed in the preoperative period, it was shown to be the opposite. Patients who received nursing guidance felt more confident and secure in relation to the procedure than those who were not instructed.
The Malmquist Index and the effects of higher education on national productivity

Higher education institutions represent a key element for the development of individuals, which is reflected in the economic and social development of countries. This study reveals how higher education in particular helps in certain areas, and shows that problems such as lack of investment in this sector slow down productivity and the interest in researching in the area through the implementation of the Malmquist index, comparing the 43 countries that have universities cataloged within the World University Ranking for 2012, 2013 and 2014, and formulating a benchmark to help detect which areas provide opportunities to improve and achieve higher productivity.
한국 영화 와 중국, 베트남판 리메이크 영화에 나타난 언어문화 비교 연구

This study aimed to analyze the differences and similarities among Korean, Chinese, and Vietnamese culture and language by comparing the Korean comedy and its two remake films. Based on the research results, an education strategy is made to help Chinese and Vietnamese students overcome the language barriers and cultural differences, communicate well in Korean, and have better two-way interaction between speakers and listeners.Understanding language presupposes an understanding of culture. Therefore, when using Korean, Korean learners need to consider the language-cultural differences between the country of the mother tongue and the country of the target language. Knowing the culture expressed in each country means knowing the corresponding language expressions as well. This study is meaningful because it provides educational materials to examine the contents of cultural education and Korean language education by comparing and analyzing cultural and linguistic factors as revealed in Korean, Chinese, and Vietnamese films.