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Guide: How to Train a Microsoft Custom Translator Model

This guide is useful to train your own Microsoft AutoML translation model. For example, you can train a domain model, such as medical, legal, video games, financial reporting with your translation memory accumulated over the years. Alternatively, you can make an organization-specific model that knows all the product and people names, and follows your individual […]

Guide: How to Train a Google Translate AutoML v3 Model

This guide is useful to train your own Google AutoML translation model. For example, you can train a domain model, such as medical, legal, video games, financial reporting with your translation memory accumulated over the years. Alternatively, you can make an organization-specific model that knows all the product and people names, and follows your individual […]

Guide: How to Adapt an Amazon Active Custom Translation Model with Your Data

This guide is useful to train your own Amazon translation model. For example, you can train a domain model, such as medical, legal, video games, financial reporting with your translation memory accumulated over the years. Alternatively, you can make an organization-specific model that knows all the product and people names, and follows your individual styles. […]

“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 […]

10 Ideas for Localization Directors to Start 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

by Konstantin Dranch Through ChatGPT, 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 on localization. As of 2023, the language […]

Tools for Data Labelling in Machine Translation Evaluations

Running professional human evaluations of machine translation requires detailed methodology and software tools to streamline the process. The most detailed approach to evaluation today is to label 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 a tool for human […]

Machine Translation Market Size

Infographic Machine Translation could signify a great boost for humanity, although being a rather niche business. According to research done over the last 2 years, it is calculated to have gained a 16% in growth. Important: MT is at least twice as big as TMS, and growing faster! Custom.MT Co-founder and researcher Konstantin Dranch has […]

Custom.MT Brings ChatGPT to RWS Trados Users

Custom.MT integrated ChatGPT and made it available through a Trados Plugin. Try it, the first 50,000 characters are on us. Like all technology teams out there, Custom.MT is experiencing the AI revolution with awe and excitement. As soon as OpenAI made waves, we decided to make it work for localization people. Working on our first […]

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.

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?

Top 5 Ideas for MT & Localization in 2022

Author: Konstantin Dranch 1. Bigger, Bolder Programs Salvo Giammarresi (AirBnB) and Rachel Carruthers (Canva) paved the way in 2021 with well-publicized programs counting 60+ and 100+ languages. Particularly, the news of Airbnb’s Translation engine made the company’s stock price jump 21% to the highest valuation in history. With daring examples in the public eye, other localization leaders […]

Subtitling with Trained Machine Translation: the 4 Next Steps

Author: Konstantin Dranch Subtitlers are looking to adopt customized machine translation, but video localization systems are not ready for it yet. Here is what they could do to expedite up the process. Since Google introduced AutoML translation and Microsoft created Custom Translator, text translation management systems (TMS) have developed excellent support for trainable machine translation. […]

Machine Translation Trainer Tools

Infographic Machine Translation trainers belong to a new professional category becoming more and more relevant in the localization industry. In 2021, an MT specialist will be one of the jobs in the spotlight in most LSPs and buy-side localization programs. Our team at Custom.MT collaborated with Effectiff to make a list of tools MT trainers use in their daily […]

French to English Finance machine translation beats Human

Case study In this case study, we look at a machine translation engine training project with a French LSP. We trained a set of MT engines and evaluated the performance both automatically and with a human eye with the client’s pool of linguists. Language combination: French to English Domain: Financial documentation Training dataset: 607k parallel […]

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