KantanAI Blog

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It must advance it.

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MT Technology Trends 2024: MT State of the Art and 5 Predictions for the Year

MT State of the Art   The translation industry has undergone a remarkable evolution fuelled by technological innovations. For instance, nowadays, it is almost impossible to have a translation project without a translation memory (TM) or run translation projects without a Content Management System (CMS). Now, Machine Translation (MT), which has been met with skepticism

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NMT for patent translation checklist

Machine Translation for Patents in the Age of Innovation

Originally posted on the KantanMT blog on January 31, 2022 MT becomes a game changer in relation to patent translations. We are living in an age of innovation; the digital revolution now fuelled by Artificial Intelligence (AI) is one of the areas experiencing more entrepreneurship and growth. The health sector is also booming, and not

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Bad data sign

The Importance of Data

Originally posted on the KantanMT blog on November 16, 2021 Why good data is so crucial in AI and Machine Translation Introduction   These days there is a lot of talk about data; big data, data mining, bad data, data sets… are all concepts that have entered our collective speech. We are surrounded by software

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Writing for the Bot

Photo by Kindel Media on Pexels.com Originally posted on the KantanMT blog on November 11, 2021 Technical documentation is now used across different channels, from online help to chatbots. With the massive adoption of software and mobile applications, good technical content is on demand. Technical writing aims to explain how to use a specific technology to the potential user. The

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Graph showing the processes involved in machine learning

Machine Learning Datasets and Neural Engines Published by NTEU Consortium

Originally posted on the KantanMT blog on August 31, 2021 KantanAI, alongside our NTEU Consortium partners Pangeanic and Tilde, has completed a substantial data upload to ELRC, with neural MT engines available for European Public Administrations via the European Language Grid. The NTEU project goals were the gathering and re-use of the language resources of several European CEF projects to create near-human quality machine

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Deep Learning – Is it Simply a Chip Off the Old Block?

Originally posted on the KantanMT blog on July 20, 2021 This blog post is aimed at helping the novice understand the technology that is Deep Learning (DL). To do this, I will need to discuss in-depth Linear Algebra, Statistics, Probability Theory and Multivariate Calculus. Only Joking! Nothing would turn the novice readers off than trying to hack

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Quality estimation scores with AI faster better service.

Effortless Machine translation. Increased Productivity.

The limited supply of translators, coupled with the large growth in the type and volume of content means that it is humanly impossible to translate everything. Machine Translation is a viable alternative for localisation service providers that want to grow their business and translate more content for their clients.

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