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“ChatGPT in Localization” – Event summaries

The “ChatGPT in Localization” event, held in March 2023, was an unprecedented success. In just three months, ChatGPT brought awareness about large language models to over 100 million people, revolutionizing communication in the process. This event focused solely on new technology in translation and localization, and it exceeded all expectations. Over 2560 people registered for […]

Excel Template to Optimize Translation Costs with Machine Translation

This Excel template is designed to help translation managers calculate savings from moving parts of their translation budget to machine translation post-editing workflow. The table factors in the translation memory, repetitions in the text, and different levels of discount depending on the match rate. With some patience and persistence, you can adjust for differences in translation rates by language.

10 Ideas for Localization Management in 2023

The year starts with two major trends: a boom in AI, and a dim economic outlook. To stay relevant in a world where globalization processes are slowing down, and machines are becoming more adept at language tasks, localization teams need to reinvent themselves once more. We present a collection of specific ideas that respond to market trends and advances in technology.

Disruption ChatGPT will Create in Language Services

With the impact ChatGPT had on localization industry and most other fields, millions of people learned that computers can already communicate and brainstorm better than most humans. Businesses are now aware of its capabilities, while AI labs roll out a much bigger GPT-4 model. I offer you an early outline the impact of this technology […]

Tools for Data Labeling in Machine Translation Evaluations

Running professional human evaluations of machine translation performance requires detailed methodology and software tools to streamline the process. The most detailed approach to evaluation today is through labeling data such as errors and assign weights to critical issues using a variation of DQF/MQM ontology. In this article, we outline Custom.MT’s journey to selecting and implementing […]

Why TAUS Changed from a Think Tank to an MT Data Provider

Founded in 2005 as a think tank, TAUS has turned into a prominent marketplace for machine translation training datasets, and a data services provider. Gone are the days of hosting conferences, the TAUS team is now busy collecting text and speech data for the likes of Google and Microsoft in a crowded space alongside Appen, […]

Machine Translation Leaders Archive

Machine translation is an important field that connects humans across the planet, giving each person unprecedented access to information. Yet very little is published about the people who drive the industry forward. Starting out in MT, we realized that neither the business nor the scientific communities have a clear vision of who the movers and shakers in the industry are today.

Machine Translation history: an introduction

Nowadays the world of translation is turning more and more to machine translation for several reasons. Before going through that, though, we need to make the point of what machine translation is.

Female Leaders in Machine Translation

By: Geri Mileva As machine translation grows as a field and welcomes new people, there is an increasing contribution of female leaders in the areas of implementation, advocacy, engineering, and computer science. With this article, we hope to provide to highlight the achievements of female leaders in MT and create mentoring opportunities for fresh specialists […]

No Human in the Loop?

We’re seeing a rise in the number of projects and requests that rely on raw machine translation. When Custom.MT started, clients wanted to train models to improve the productivity of human translators, and to reduce the cost. Today, more than half of the requests we get are about doing the translation fully automatically, without a […]

How Anonymization Works in Machine Translation

In 2018, the European Union set a milestone for data protection when it enforced the General Data Protection Regulation (GDPR). This legislation made it compulsory for all types of organizations to delete personal data involving European citizens. Compliance with GDPR is now a requirement for all companies dealing with such data, whether they are based […]

Interview with Arul Menezes, Microsoft Translator Founder

Today’s race for leadership in machine translation (MT) is between IT Giants Google and Microsoft, a few small specialized companies like DeepL and ModernMT, and open-source projects. What does it take, and how does it feel — to expand the boundaries of science and business at the very top of the machine translation field?

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