On Monday, November the 6th, OpenAI unveiled improved models: The release is a gauntlet of challenge thrown to a broad range of AI companies, not just LLM builders like Antropic and Cohere, but also speech recognition, synthetic voice, and machine translation companies. OpenAI positioned itself as a future one-stop shop for models. While getting image, […]
The Golden Jubilee Locworld 50 conference recently concluded, leaving attendees with a whirlwind of thoughts and emotions. As the conference ended, attendees struggled to distil key takeaways from this milestone event, evident in puzzled expressions. Conversations were peppered with puzzled expressions, furrowed brows, and hesitant responses. “Errr…” “Hmmm…” “(Shrug) Yeah.” After some contemplation, two recurring […]
Smartling, the enterprise AI-powered translation company, and Custom.MT, a machine translation platform, today announced a technology integration.
June came around and packed quite a punch with industry events! LocWorld49 just wrapped up in Malmo, Sweden (read our recap on that one here), and there were four online events last week: Global Ready by Smartling, SlatorCon by Slator, GlobalSake and LocTalk by Smartcat .W We attended the latter one and are excited to share our insights […]
#Locworld49 in Malmo is a big success! This year’s European segment of the pivotal localization event underscores two key trends: large language model adoption and fully automated translation without a human in the loop, the industry’s endgame. Language model adoption On the LLM side, the initial hype has quieted down, paving the way for actual […]
Have you thought of applying a large language model such as GPT-4 in your workflows? Custom.MT opens doors to organized pilot projects. Here is a list of 8 ideas for your consideration. Translate with GPTs Classic Translation – apply large language models with glossaries and style guides to translation and evaluate them vs Google, DeepL, Microsoft, and […]
https://youtu.be/tsfTX6j2AjA In this video, we demonstrate how to set up translation with ChatGPT in Trados, and how to customize the output with Custom.MT Console. Custom.MT Console is a machine translation platform integrated with Trados, memoQ and Smartling. It allows you to create, manage, and use your own custom machine translation (MT) models, and to connect […]
Custom.MT, a leading provider of applied AI for localization, has been approved for Nvidia’s Inception program for startups. With this program, Nvidia supports and nurtures promising startups in the fields of AI and data science. As a member of Inception, Custom.MT will have access to significant benefits that will help us develop custom models for […]
The second event in this series highlighted the localization industry’s quick adoption of ChatGPT, GPT-4 and other large language models (LLMs). Compared to the shock and surprise in February of this year, this time participants saw action across the board. Over 3,000 watched the event live and in recording later. The event featured panel discussions on […]
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 […]
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 […]
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 […]
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. […]
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 […]
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.
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 […]
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 […]
by: Konstantin Dranch Last Friday Custom.MT ran the industry’s first localization prompt engineering hackathon. We discovered an engaging new format for linguists, project managers, and executives to learn while networking and brainstorming for fresh ideas. Here are some pointers on how to host your own event like that. Why do you need a hackathon? Buy-side […]
New York, NY, June 7, 2023 – Smartling, a leading translation management system (TMS), and Custom.MT, a machine translation platform, today announced a technological partnership integrating their solutions for enhanced machine translation coverage. Benefits to users The partnership with Custom.MT extends Smartling’s machine translation coverage, and the TMS is able to offer our clients unprecedented […]
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.
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 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.
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.
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 […]
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 […]
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 […]
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?
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 […]
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 […]
The year 2021 marked the arrival of speech to speech translation in the commercial world.
Scientists are working on making the underlying technology smoother and more accurate, engineers are integrating it into practical use cases. At the same time, there is an explosion in neural voices. Between July and September, three companies in this area got funded, Murf.ai, Wellsaid Labs, and Lovo.ai. As a result, localization professionals can now choose from 20+ providers of pre-made voices, or even clone their own voice to generate personalized speeches.
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. […]
Partner Spotlight: Pangeanic Smart governments are hiring data scientists to further automate what governments do for their citizens. These data scientists work on creating data highways, so that the information that flows into systems is structured, and a thousand different applications can spring forth from it in the future. In the meanwhile, Manuel Herranz and his company […]
Authors: Will Pace, Konstantin Dranch and Silvia Schiavoni Globalese is an affordable machine translation system tailored for trainers. Thanks to a great sandbox and a direct connection of users with the company’s founders, Globalese has become a very popular choice with the MT trainer community. Custom.MT presents the story of Globalese and the founders’ views […]
Case Study Engines from IT giants such as Google Translate, Microsoft, and Yandex often win in quality because search engine companies possess the whole internet as their data pool. However, with very specialized content and excellent translation memory, this advantage is nullified. In this case study, the engine from a smaller MT vendor Globalese won […]
Guest post by Jourik Ciesielski* Guest Case study Jourik Ciesielski trained a Google AutoML engine for an automotive customer in English to Spanish (Latam) language combination. As a result training, only 17% segments needed editing In this case study we discuss the impact of training on the output generated by an MT engine. The technology […]
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 […]
Infographic Translation memories are usually database-type files that contain previously translated texts, their formatting and other properties. Some of the properties are defined by default (e.g., source and target language, date, time, the user ID or CAT tool that performed the translation, etc.), while others can be added as custom attributes. Each CAT tool has […]
Case study In this case study, our client is a medium-sized translation company in Moscow that specializes in the medical field. They are a regional leader in medical documentation, with tons of clinical studies, pharma labels, and Covid-19 announcements. The agency has experimented with a stock Yandex engine and contracted Custom.MT to see how far […]
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 […]