scholarly journals Sign Translation Via Natural Language Processing

2021 ◽  
pp. 1-7
Author(s):  
Shadman A. Khan ◽  
Zulfikar Ali Ansari ◽  
Riya Singh ◽  
Mohit Singh Rawat ◽  
Fiza Zafar Khan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
User Interface ◽  
Sign Language ◽  
Language Processing ◽  
New Technologies ◽  
End User ◽  
User Input ◽  
Sign Recognition ◽  
Voice User ◽  
The Voice

Artificial Intelligence (AI) technologies are new technologies with new complicated features emerging quickly. Technology adoption has been beneficial for many general models. The models help in train the voice user-interface assistance (Alexa, Cortona, Siri). Voice assistants are easy to use, and thus millions of devices incorporate them in households nowadays. The primary purpose of the sign language translator prototype is to reduce interaction barriers between deaf and mute. To overcome this problem, we have proposed a prototype. It is named sign language translator with Sign Recognition Intelligence which takes the user input in sign language and processes it, and returns the output in voice out load to the end-user.

Developing a Graphical User Interface for an Artificial Intelligence-Based Voice Assistant

2021 ◽  
Vol 11 (3) ◽  
pp. 49-67
Author(s):  
Subhash S. ◽  
Siddesh S. ◽  
Prajwal N. Srivatsa ◽  
Ullas A. ◽  
Santhosh B.
Keyword(s):  
Artificial Intelligence ◽  
User Interface ◽  
Graphical User Interface ◽  
Human Life ◽  
Human Machine Interaction ◽  
Audio File ◽  
Voice User ◽  
Text Response ◽  
Intelligent Personal Assistant ◽  
The Voice

Artificial intelligence machineries have been extensively active in human life in recent times. Self-governing devices are enhancing their way of interacting with both human and devices. Contemporary vision in this topic can pave the way for a new process of human-machine interaction in which users will get to know how people can understand human language, adapting and communicating through it. One such tool is voice assistant, which can be incorporated into many other brilliant devices. In this article, the voice assistant will receive the audio from the microphone and then convert that into text, later with the help of ‘pyttsx3', and then the text response will be converted into an audio file; then the audio file will be played. The audio is processed using the voice user interface (VUI). This article develops a functional intelligent personal assistant (IPA) and integrates it with a graphical user interface that can perform mental tasks such as ON/OFF of smart applications based on the user commands.

scholarly journals Phonological priming in German Sign Language: An eye tracking study using the Visual World Paradigm

2019 ◽  
Author(s):  
Anne Wienholz ◽  
Derya Nuhbalaoglu ◽  
Markus Steinbach ◽  
Annika Herrmann ◽  
Nivedita Mani
Keyword(s):  
Eye Tracking ◽  
Sign Language ◽  
Language Processing ◽  
Priming Effect ◽  
Phonological Priming ◽  
Target Sign ◽  
Sign Recognition ◽  
Sentence Level ◽  
German Sign Language ◽  
Prime Target

Various studies provide evidence for a phonological priming effect in the recognition of single signs based on phonological parameters, i.e., handshape, location and movement. In addition, some of these studies show that phonological parameters influence this effect differently. The current eye tracking study on German Sign Language examined the presence of a phonological priming effect at the sentence level depending on the phonological relation of prime-target sign pairs. We recorded participants’ eye movements while presenting a video of sentences containing either related or unrelated prime-target sign pairs, and a picture of the target and the distractor. The data provided evidence for a phonological priming effect for sign pairs sharing handshape and movement while differing in location. Moreover, a difference between parameters in their contribution to sign recognition was suggested such that recognition was facilitated for signs sharing handshape, but was inhibited for signs sharing location. Showing that sub-lexical features influence sign language processing.

Phonological priming in German Sign Language

2020 ◽  
Author(s):  
Anne Wienholz ◽  
Derya Nuhbalaoglu ◽  
Markus Steinbach ◽  
Annika Herrmann ◽  
Nivedita Mani
Keyword(s):  
Sign Language ◽  
Language Processing ◽  
Priming Effect ◽  
Location Parameter ◽  
Phonological Priming ◽  
Target Sign ◽  
Sign Recognition ◽  
Sentence Level ◽  
German Sign Language ◽  
Prime Target

Abstract A number of studies provide evidence for a phonological priming effect in the recognition of single signs based on phonological parameters and that the specific phonological parameters modulated in the priming effect can influence the robustness of this effect. This eye tracking study on German Sign Language examined phonological priming effects at the sentence level, while varying the phonological relationship between prime-target sign pairs. We recorded participants’ eye movements while presenting videos of sentences containing either related or unrelated prime-target sign pairs, and pictures of the target and an unrelated distractor. We observed a phonological priming effect for sign pairs sharing handshape and movement while differing in location parameter. Taken together, the data suggest a difference in the contribution of sign parameters to sign recognition and that sub-lexical features influence sign language processing.

scholarly journals Artificial intelligence, a possible solution for agriculture and animal husbandry sector?

2021 ◽  
Vol 78 (2) ◽  
pp. 1
Author(s):  
Ancuţa ROTARU ◽  
Anamaria VÂTCĂ ◽  
Ioana POP ◽  
Luisa ANDRONIE
Keyword(s):  
Artificial Intelligence ◽  
Perception And Action ◽  
New Technologies ◽  
Animal Husbandry ◽  
Data Sets ◽  
Aggregated Data ◽  
Livestock Sector ◽  
Share Data ◽  
Closed Systems ◽  
The Voice

This paper aims at making a review of the artificial intelligence concept, its global scope from the agro-livestock sector perspective and the understanding, approach and application of this concept Romania in early 2021. Artificial intelligence is a computer science sub-field that is materialized by algorithms developed starting from the logical or mathematical models of the cognition, perception and action processes. Globally, large agricultural companies are trying to grasp concepts such as big data, artificial intelligence (AI), machine learning and analysis. These areas have moved rapidly towards the agro-livestock sector too, but most companies have not been prepared to deal thoroughly with these new technologies. It really sounds interesting, but what does it take to take the next steps? The voice of the expert says: “If we really want to have a global impact on food sustainability, production and safety, we need to think about data standards, data sharing, benchmarking and analysis on aggregated data sets. Today, we see farmers who are reluctant to share data with agritech companies that have developed closed systems, which will hinder the evolution of things” (Claudia Roessler, IT specialist, Microsoft).

scholarly journals Artificial Intelligence based BOT to Manage and Administer Cloud Services

2021 ◽  
Vol 9 (VI) ◽  
pp. 1688-1694
Author(s):  
P. Z Muzzamil
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Language Processing ◽  
Cloud Services ◽  
Basic Information ◽  
End User ◽  
Cognitive Services ◽  
Management Of Resources ◽  
Level Of Effort

In the era of cloud computing, every company uses cloud technology for its applications and other infrastructure to provide a highly available and easily accessible user experience. While monitoring and managing these assets becomes a hectic work for the IT admins. On which the Level of Effort (LOE) of the resource allocated will be high and the resource must reach different console for different information. Introducing an AI-powered bot which can monitor and manage the cloud assets will reduce the manpower drastically. Most enterprises currently have very rudimentary systems of resource management where someone in the role of an Azure or resource administrator log on to the Admin Portal of their resources and have to apply filters and search through multiple screens to find even the most basic information regarding utilization and cost. This leads to inefficient management of resources and almost leads to overspending in resources that are being underutilized. The implementation of the project will involve creating a cloud services management bot that can be integrated with an enterprise’s collaboration suite as a way to enhance the enterprise’s modern workspace. The bot is to be trained on a set of query data as part of the artificial intelligence process using the natural language processing packages that are included in the Azure Cognitive Services suite. Once queries are processed, the system will connect with the respective endpoints of the Azure Resource Management REST APIs to retrieve relevant resource utilization information and show that to the end-user.

scholarly journals Theory and practice in artificial intelligence

2019 ◽  
Vol 89 (4) ◽  
pp. 365-370
Author(s):  
I. A. Sokolov
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Intelligent Systems ◽  
Description Logic ◽  
New Technologies ◽  
Machine Intelligence ◽  
Theory And Practice ◽  
Experimental Science ◽  
Mathematical Methods ◽  
Interdisciplinary Field

Artificial Intelligence is an interdisciplinary field, and formed about 60 years ago as an interaction between mathematical methods, computer science, psychology, and linguistics. Artificial Intelligence is an experimental science and today features a number of internally designed theoretical methods: knowledge representation, modeling of reasoning and behavior, textual analysis, and data mining. Within the framework of Artificial Intelligence, novel scientific domains have arisen: non-monotonic logic, description logic, heuristic programming, expert systems, and knowledge-based software engineering. Increasing interest in Artificial Intelligence in recent years is related to the development of promising new technologies based on specific methods like knowledge discovery (or machine learning), natural language processing, autonomous unmanned intelligent systems, and hybrid human-machine intelligence.

Evaluating Voice User Interfaces in Ubiquitous Applications

2010 ◽  
pp. 44-58
Author(s):  
Valéria Farinazzo Martins Salvador ◽  
João Soares de Oliveira Neto ◽  
Marcelo de Paiva Guimarães
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Current Trend ◽  
Evaluation Process ◽  
Quality Service ◽  
Voice User ◽  
The Voice ◽  
Natural Way ◽  
Voice User Interface

In the current trend of applications going more and more ubiquitous, it is necessary to determine some characteristics, requirements and properties that must be assured in order that the application provides quality service to its users. This chapter describes a study on the evaluation of Voice User Interface (VUI) in Ubiquitous Applications and discusses some of issues which may impact the evaluation process when using the voice as a natural way of interacting with computers. The authors present a set of guidelines and usability principles that should be considered when developing VUIs for Ubiquitous Applications. Finally, they present the results of a case study which was performed in order to test and exemplify the concepts presented here.

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