A rule triggering system for automatic text-to-sign translation

Filhol, Michael; Hadjadj, Mohamed; Testu, Benoît

doi:10.1007/s10209-015-0413-4

Cited by 13 publications

(5 citation statements)

References 12 publications

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“…A relevant source for comparative grammars of sign languages, potentially relevant for computational purposes, is the Sign-Hub project (sign-hub.eu/). Additionally, rule-based machine translation has recently demonstrated promising results for sign language, given how it represents grammar (Filhol et al 2016). But these endeavours have faced serious limitations.…”

Section: Visual and Tactile Elements Of Interactionmentioning

confidence: 99%

The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

Sayers¹,

Sousa‐Silva²,

Höhn³

et al. 2021

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New language technologies are coming, thanks to the huge and competing private investment fuelling rapid progress; we can either understand and foresee their effects, or be taken by surprise and spend our time trying to catch up. This report scketches out some transformative new technologies that are likely to fundamentally change our use of language. Some of these may feel unrealistically futuristic or far-fetched, but a central purpose of this report - and the wider LITHME network - is to illustrate that these are mostly just the logical development and maturation of technologies currently in prototype. But will everyone benefit from all these shiny new gadgets? Throughout this report we emphasise a range of groups who will be disadvantaged and issues of inequality. Important issues of security and privacy will accompany new language technologies. A further caution is to re-emphasise the current limitations of AI. Looking ahead, we see many intriguing opportunities and new capabilities, but a range of other uncertainties and inequalities. New devices will enable new ways to talk, to translate, to remember, and to learn. But advances in technology will reproduce existing inequalities among those who cannot afford these devices, among the world’s smaller languages, and especially for sign language. Debates over privacy and security will flare and crackle with every new immersive gadget. We will move together into this curious new world with a mix of excitement and apprehension - reacting, debating, sharing and disagreeing as we always do. Plug in, as the human-machine era dawns.

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Section: Visual and Tactile Elements Of Interactionmentioning

confidence: 99%

The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

Sayers¹,

Sousa‐Silva²,

Höhn³

et al. 2021

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show abstract

“…It will be used to assess both the linguistic models and the animation modules. Other possible uses of this platform are web-based collaborative applications, such as SL wikis or e-learning platforms, and computerassisted translation system from text to SL [11]. …”

Section: Resultsmentioning

confidence: 99%

KAZOO: a sign language generation platform based on production rules

Braffort

Filhol

Delorme

et al. 2015

Univ Access Inf Soc

Self Cite

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This paper describes KAZOO, a web application for sign language (SL) generation using a virtual signer. Firstly, it explains the motivation to this project, which is grounded on an approach designed solely from SL corpus analysis and modelling. Then, various projects conducted in the past few years on linguistic modelling and 3D animation are presented. The platform's architecture integrates parts of this work and new pieces of software allowing control and linking of all these components. This is an ongoing project, though the current version offers the possibility to animate a virtual signer automatically and synthesize the contents using an abstract representation, the authors' own linguistic model AZee, providing a means of validating this model.

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“…Apparently, a rule-based technique is a method of solving a problem or making a decision based on a set of pre-defined rules [24]. It mimics human intelligence to apply human-made rules to store, sort and manipulate data.…”

Section: Rule-based Technique (Rb)mentioning

confidence: 99%

A Review on Job Recommendation System

Zhou Zou,

Sharin Hazlin Huspi,

Ahmad Najmi Amerhaider Nuar

2024

ARASET

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With the rapid growth of artificial intelligence and machine learning technologies, the recommendation system aims to help users find items that match their preferences. In order to improve performance, many recommendation system techniques have been proposed. This paper presents a survey of some common recommendation techniques and related issues with advantages and disadvantages. At the same time, the different types of job recommendation systems are described in detail and compared with each other. The goal is to provide a comprehensive overview of the current state of job recommendation systems and to analyze the characteristics of each system. The results of the case studies can contribute to a better understanding of the strengths and weaknesses, as well as techniques used in different job recommendation systems. Through this review, insights are provided to guide the development of more effective recommendation systems. For future research, a system is proposed to generate career move recommendations with upskilling and reskilling suggestions.

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A rule triggering system for automatic text-to-sign translation

Cited by 13 publications

References 12 publications

The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

KAZOO: a sign language generation platform based on production rules

A Review on Job Recommendation System

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