scholarly journals Creating a Multimodal Translation Tool and Testing Machine Translation Integration Using Touch and Voice

Informatics ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 13 ◽  
Author(s):  
Carlos Teixeira ◽  
Joss Moorkens ◽  
Daniel Turner ◽  
Joris Vreeke ◽  
Andy Way
Keyword(s):  
Speech Recognition ◽  
Machine Translation ◽  
Development Process ◽  
Testing Machine ◽  
Web Accessibility ◽  
Software Tools ◽  
Commercial Software ◽  
Web Based

Commercial software tools for translation have, until now, been based on the traditional input modes of keyboard and mouse, latterly with a small amount of speech recognition input becoming popular. In order to test whether a greater variety of input modes might aid translation from scratch, translation using translation memories, or machine translation postediting, we developed a web-based translation editing interface that permits multimodal input via touch-enabled screens and speech recognition in addition to keyboard and mouse. The tool also conforms to web accessibility standards. This article describes the tool and its development process over several iterations. Between these iterations we carried out two usability studies, also reported here. Findings were promising, albeit somewhat inconclusive. Participants liked the tool and the speech recognition functionality. Reports of the touchscreen were mixed, and we consider that it may require further research to incorporate touch into a translation interface in a usable way.

scholarly journals Photovoltaic Prediction Software: Evaluation with Real Data from Northern Spain

2021 ◽  
Vol 11 (11) ◽  
pp. 5025
Author(s):  
David González-Peña ◽  
Ignacio García-Ruiz ◽  
Montserrat Díez-Mediavilla ◽  
Mª. Isabel Dieste-Velasco ◽  
Cristina Alonso-Tristán
Keyword(s):  
Energy Production ◽  
Field Data ◽  
Real Data ◽  
Software Tools ◽  
Horizontal Axis ◽  
Real Field ◽  
Tracking Systems ◽  
Northern Spain ◽  
Commercial Software ◽  
Solar Tracking

Prediction of energy production is crucial for the design and installation of PV plants. In this study, five free and commercial software tools to predict photovoltaic energy production are evaluated: RETScreen, Solar Advisor Model (SAM), PVGIS, PVSyst, and PV*SOL. The evaluation involves a comparison of monthly and annually predicted data on energy supplied to the national grid with real field data collected from three real PV plants. All the systems, located in Castile and Leon (Spain), have three different tilting systems: fixed mounting, horizontal-axis tracking, and dual-axis tracking. The last 12 years of operating data, from 2008 to 2020, are used in the evaluation. Although the commercial software tools were easier to use and their installations could be described in detail, their results were not appreciably superior. In annual global terms, the results hid poor estimations throughout the year, where overestimations were compensated by underestimated results. This fact was reflected in the monthly results: the software yielded overestimates during the colder months, while the models showed better estimates during the warmer months. In most studies, the deviation was below 10% when the annual results were analyzed. The accuracy of the software was also reduced when the complexity of the dual-axis solar tracking systems replaced the fixed installation.

Research on Machine Translation Technology in English Translation Process

2014 ◽  
Vol 687-691 ◽  
pp. 1210-1213
Author(s):  
Ke Tian
Keyword(s):  
Machine Translation ◽  
English Translation ◽  
Development Process ◽  
Translation System ◽  
Translation Process ◽  
Sentence Meaning ◽  
Cultural Exchanges ◽  
Response Measures ◽  
World Economic ◽  
Translation Machine

Translation plays an important role in the world economic and cultural exchanges. Translation is divided into machine translation and human translation, which is complement each other in promoting world economic and social development process. In this paper, Collaborative Translation gets much attention, along with the growth of collaborative translation, English translation technology also towards a new milestone, the characteristics of collaborative translation process and scientific literature are briefly introduced, and collaborative translation technology English Translation applications made a brief explanation. From the perspective of the development of machine translation, comparative analysis of the characteristics of human translation machine translation strengths and weaknesses, and we make relevant response measures and selection criteria translation approach. The specific translation system is analyzed from the perspective of textual and the Collaborative Translation shortcomings, as well as interpretation of collaborative translation features, functions and its impact on the meaning and sentence meaning.

Software Tools for Systematic Literature Review in Medicine: A Review and Feature Analysis (Preprint)

2021 ◽  
Author(s):  
Kathryn Cowie ◽  
Asad Rahmatullah ◽  
Nicole Hardy ◽  
Karl Holub ◽  
Kevin Kallmes
Keyword(s):  
Best Practices ◽  
Software Tools ◽  
Observer Agreement ◽  
Medical Community ◽  
Feature Analysis ◽  
Data Abstraction ◽  
Statistical Software ◽  
Web Based ◽  
Knowledge Support ◽  
Dual Extraction

BACKGROUND Systematic reviews (SRs) are central to evaluating therapies but have high costs in terms of both time and money. Many software tools exist to assist with SRs, but most tools do not support the full process, and transparency and replicability of SR depends on performing and presenting evidence according to established best practices. OBJECTIVE In order to provide a basis for comparing and selecting between software tools that support SR, we performed a feature-by-feature comparison of SR tools. METHODS We searched for SR tools by reviewing any such tool listed the Systematic Review Toolbox, previous reviews of SR tools, and qualitative Google searching. We included all SR tools that were currently functional, and require no coding and excluded reference managers, desktop applications, and statistical software. The list of features to assess was populated by combining all features assessed in four previous reviews of SR tools; we also added five features (Manual Addition, Screening Automation, Dual Extraction, Living review, Public outputs) that were independently noted as best practices or enhancements of transparency/replicability. Then, two reviewers assigned binary “present/absent” assessments to all SR tools with respect to all features, and a third reviewer adjudicated all disagreements. RESULTS Of 49 SR tools found, 27 were excluded, leaving 22 for assessment. Twenty-eight features were assessed across 6 classes, and the inter-observer agreement was 86.46%. DistillerSR, EPPI-Reviewer Web, and Nested Knowledge support the most features (24/28, 86%), followed by Covidence, SRDB.PRO, SysRev (20/28, 71%). Six tools support fewer than half of all features assessed: SyRF, Data Abstraction Assistant, SWIFT-review, SR-Accelerator, RobotReviewer, and COVID-NMA. Notably, only 9 of 22 tools (41%) support direct search, only four (18%) offer dual extraction, and only 9 (41%) offer living/updatable reviews. CONCLUSIONS DistillerSR, EPPI-Reviewer Web, and Nested Knowledge each offer a high density of SR-focused web-based tools. By transparent comparison and discussion regarding SR tool functionality, the medical community can both choose among existing software offerings and note the areas of growth needed, most notably in the support of living reviews.

Review of commercial software tools for facade acoustics

ce/papers ◽  
2021 ◽  
Vol 4 (6) ◽  
pp. 465-472
Author(s):  
Alvaro Balderrama ◽  
Daniel Arztmann ◽  
Jens‐Uwe Schulz
Keyword(s):  
Software Tools ◽  
Commercial Software

scholarly journals An Open-Source Web-Based Tool for Resource-Agnostic Interactive Translation Prediction

2014 ◽  
Vol 102 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Torregrosa Daniel ◽  
Forcada Mikel L. ◽  
Pérez-Ortiz Juan Antonio
Keyword(s):  
Open Source ◽  
Machine Translation ◽  
Web Application ◽  
Statistical Machine Translation ◽  
Black Box ◽  
Translation System ◽  
Web Tool ◽  
Web Based ◽  
Strongly Coupled ◽  
Machine Translation System

Abstract We present a web-based open-source tool for interactive translation prediction (ITP) and describe its underlying architecture. ITP systems assist human translators by making context-based computer-generated suggestions as they type. Most of the ITP systems in literature are strongly coupled with a statistical machine translation system that is conveniently adapted to provide the suggestions. Our system, however, follows a resource-agnostic approach and suggestions are obtained from any unmodified black-box bilingual resource. This paper reviews our ITP method and describes the architecture of Forecat, a web tool, partly based on the recent technology of web components, that eases the use of our ITP approach in any web application requiring this kind of translation assistance. We also evaluate the performance of our method when using an unmodified Moses-based statistical machine translation system as the bilingual resource.

scholarly journals Extraction of Lip features for the Identification of Vowels Utterances using MFCC and Geometrical Aspects

2020 ◽  
Vol 8 (5) ◽  
pp. 3978-3983
Keyword(s):  
Speech Recognition ◽  
Software Tools ◽  
Minor Axis ◽  
Noisy Environment ◽  
Video File ◽  
Feature Vectors ◽  
Individual Person ◽  
Lip Reading ◽  
Lip Movement

Identification of a person’s speech by his lip movement is a challenging task. Even though many software tools available for recognition of speech to text and vice versa, some of the words uttered may not be accurate as spoken and may vary from person to person because of their pronunciation. In addition, in the noisy environment speech uttered may not perceive effectively hence there lip movement for a given speech varies. Lip reading has added advantages when it augmented with speech recognition, thus increasing the perceived information. In this paper, the video file of a individual person are converted to frames and extraction of only the lip contour for vowels is done by calculating its area and other geometrical aspects. Once this is done as a part of testing it is compared with three to four people’s lip contour for vowels for first 20 frames. The parameters such as mean, centroid will remain approximately same for all people irrespective of their lip movement but there is change in major and minor axis and hence area changes considerably. In audio domain vowel detection is carried out by extracting unique features of English vowel utterance using Mel Frequency Cepstrum Coefficients (MFCC) and the feature vectors that are orthonormalized to compare the normalized vectors with standard database and results are obtained with approximation.

Factors Influencing Web Accessibility of Corporate Information

2020 ◽  
Vol 16 (3) ◽  
pp. 1-19
Author(s):  
Harmandeep Singh ◽  
Arwinder Singh
Keyword(s):  
Web Accessibility ◽  
Business Communication ◽  
The Internet ◽  
Company Size ◽  
Web Based ◽  
Factors Influencing ◽  
External Stakeholders ◽  
Corporate Information ◽  
Prevalent Form ◽  
The Web

With the rapidly growing demand for corporate information from the external stakeholders, the Internet is a crucial instrument for meeting the required information. The web-based disclosure is an improvised version of the traditional form of disclosure with enhanced technology. In spite of that, web-based disclosure is the most prevalent form of business communication, and the accessibility of corporate information on webpages is a concern area for the organization. Thus, this article is an attempt to study the web accessibility of corporate information disclosed by 100 large BSE listed Indian companies and also to identify the firm determinants that affect the web accessibility of corporate information. The study reveals that the web-accessibility of the company website is increased with company size and company listing age. It also shows that companies with a low market risk have more concerns for the web accessibility of corporate information. The results of the study are helpful for the organizations to make policies for the advancement of web accessibility on the webpages.

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