7 research outputs found

    Spelling Correction for Estonian Learner Language

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    Teksti keelekasutusmustrid ja lingvistiline klasteranalüüs

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    Suurte korpuste automaatsel töötlemisel kasutatakse erinevat keeletarkvara ja statistilist analüüsi, mille valik ning kombineerimisvõimalused sõltuvad keelest, uurimisobjektist ja eesmärkidest. Artiklis tutvustame teksti keelekasutusmustrite otsimiseks mõeldud integreeritud tarkvararakendust Klastrileidja ja selle toimesüsteemi, anname ülevaate lingvistilise klasteranalüüsi abil saadud uurimistulemustest. Eesmärk on seletada, mida selle meetodi rakendamine loomuliku keele töötluse käigus võimaldab avastada eesti keele ja õppija keelekasutuse kohta ning kuidas neid teadmisi pedagoogilistel vajadustel rakendada. *** "Patterns of language use and linguistic cluster analysis" For automatic processing of large electronic corpora, different language analysis tools and statistical methods are applied, the choice and combination of which depend on the language, the object and goals of study. In this article, we introduce an integrated software tool Klastrileidja (Cluster Catcher), which has been developed for finding language use patterns, and we give an overview of the study results obtained, using linguistic cluster analysis. The purpose is to explain the possibilities that this method offers for natural language processing, exploring Estonian and learner language use as well as for pedagogical needs

    LITHME : Language in the Human-Machine Era

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    The LITHME COST Action brings together researchers from various fields of study focusing on language and technology. We present the overall goals of LITHME and the network’s working groups focusing on diverse questions related to language and technology. As an example of the work of the LITHME network, we discuss the working group on language work and language professionals.nonPeerReviewe

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

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    The 'human-machine era' is coming soon: a time when technology is integrated with our senses, not confined to mobile devices. The hardware will move from our hands into our eyes and ears. Intelligent eyewear and earwear will be able to translate another person's words, and make it look and sound like they were talking to you in your language. Technology will mediate what we see, hear and say, in real time. In addition, we will be having increasingly complex conversations with smart devices. This is not science fiction or marketing hype. These devices are currently in prototype, set for widespread consumer adoption in the coming years. All this will disrupt and transform our use and understanding of language use. Are we ready?A new EU 'COST Action' (https://cost.eu) research network 'Language in the Human-Machine Era' (LITHME), with members from 52 countries, explores how such technological advances are likely to change our everyday communication, and ultimately language itself. As a first major collaborative effort, LITHME has published an open access report 'The Dawn of the Human-Machine Era: A Forecast of New and Emerging Language Technologies': https://doi.org/10.17011/jyx/reports/20210518/1.Accessible to a wide audience, the report brings together insights from specialists in the fields of language technology and linguistic research.The forecast report was authored by 52 researchers, and edited by LITHME's Chair Dave Sayers (University of Jyväskylä, Finland), Vice-Chair Sviatlana Höhn (University of Luxembourg), and the Chair of LITHME's Computational Linguistics working group Rui Sousa Silva (University of Porto, Portugal). It describes the current state and probable futures of various language technologies – for written, spoken, haptic and signed modalities of language.The publication is intended to be both authoritative and accessible, aimed at language and technology professionals but also policymakers and the wider public. It describes how a range of new technologies will soon transform the way we use language, while discussing the software powering these advances behind the scenes, as well as consumer devices like Augmented Reality eyepieces and immersive Virtual Reality spaces. The report also shines a light on critical issues such as inequality of access to technologies, privacy and security, and new forms of deception and crime.It is a result of unique collaboration, as LITHME brings together people from different directions in language research who would not otherwise meet or collaborate. LITHME has eight thematic working groups; and members from each working group have contributed to the report

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

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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 capabilit ...showmor

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

    Get PDF
    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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