Udemy

Mastering Translation AI

Unlocking AI in Translation: Master Context, Fine-Tuning, and Data Security for Superior Results
Free tutorial
Rating: 4.5 out of 5 (35 ratings)
852 students
1hr 10min of on-demand video
English
English

Understand LLMs' role in translation, their advantages over NMT, and efficiency in UI localization.
Learn to use context at different levels to enhance translation accuracy and tackle context challenges.
Master fine-tuning in Crowdin, leveraging human edits to customize AI for organizational needs and improve LLM performance.
Understand data security aspects of LLMs, including API key protection.
Learn how to utilize AI for achieving the highest percentage of ready-to-publish translations.

Requirements

  • Prerequisites for this course are minimal, making it accessible for beginners: 1. Basic understanding of translation and localization processes. 2. Familiarity with the concept of machine translation, though in-depth knowledge is not necessary. 3. Enthusiasm to learn about AI and language models in translation. No specific technical or programming skills are required. This course is designed to be approachable for learners of all backgrounds, including those new to the field of translation and AI.

Description

Welcome to a comprehensive course designed to unlock the full potential of AI in the field of translation. This course is meticulously crafted for both beginners and experienced professionals, offering a deep dive into the world of language models (LLMs) and their pivotal role in revolutionizing translation practices.

Through this course, you will:


1. Gain a thorough understanding of the evolution and capabilities of language models, exploring their advantages over conventional neural machine translation (NMT) systems. Discover how these models are reshaping the landscape of UI localization projects, making translations more efficient and accurate.


2. Learn the significance of context in translation. This course will guide you through the process of effectively providing and utilizing context at various levels in Crowdin, including project, file, key/string, and translator session levels. You'll understand how context can dramatically improve translation quality and overcome the challenges posed by translations lacking context.


3. Master the art of fine-tuning language models (as an example, we'll use Crowdin). This section focuses on how customizing AI to fit specific organizational needs can significantly enhance LLM performance. You'll learn about the '5% challenge' and how human edits can be leveraged to build a tailored translator for your company.


4. Delve into the critical aspects of data security in using LLMs. The course covers topics such as managing privacy frameworks and ensuring full ownership of LLM models. These insights are essential for anyone looking to use AI in translation while maintaining the highest standards of data security.


This course is ideal for professional translators, localization project managers, language model enthusiasts, and tech industry professionals curious about AI's applications in language translation. With no stringent prerequisites, it allows learners of all backgrounds to engage with cutting-edge AI technology in translation.


By the end of this course, you'll be equipped with the knowledge and skills to utilize AI to achieve the highest percentage of ready-to-publish translations, significantly enhancing your capabilities in the rapidly evolving field of translation technology. Join us to embrace the future of translation and elevate your professional skills with the power of AI.

Who this course is for:

  • Professional translators and linguists looking to enhance their skills with AI technology.
  • Localization project managers seeking efficient ways to integrate AI into their workflows.
  • Language model enthusiasts interested in the application of AI in translation.
  • Anyone in the tech industry curious about the advancements and use of AI in language translation.
  • Whether you're a seasoned professional in the language industry or a tech-savvy individual with an interest in AI and translation, this course offers valuable insights and practical skills that can be applied in various professional contexts.

Instructors

Make your whole company multlingual
Crowdin AI-Powered Localization Software
  • 4.5 Instructor Rating
  • 35 Reviews
  • 853 Students
  • 2 Courses

With over 2M registered users and over 100K projects worldwide, Crowdin helps companies automate the localization processes and reach new markets faster.

As a company-wide solution, it is the place where departments can collaborate and manage multilingual content together. Using Crowdin API 2.0, CLI, or integrations with GitHub, GitLab, Bitbucket, and Azure Repos, engineering teams can automate the content turnaround. Crowdin plugins for Sketch, Figma, and Adobe XD allow design teams to work with the translated copy earlier in the design process. There are also integrations with Hubspot, Mailchimp, Zendesk Guide, and more.

On Crowdin, you can try out different approaches – pre-translate content with MT engines, work with in-house translators, hire an agency, or engage your community. You can always make sure translators work in context. Set up Crowdin In-Context to allow website translation in real time. Upload and tag product Screenshots, create Glossaries, and more.

Localization consultant and translator
Dorota Pawlak
  • 4.6 Instructor Rating
  • 1,083 Reviews
  • 4,653 Students
  • 4 Courses

Dorota is a translator, prompt engineer, and localization consultant.

She specializes in the translation of IT texts and localization of websites, games, and software. Dorota also runs her localization consultancy called Polish Localisation, helping digital brands add a local touch to their content.

 You can find out more about Dorota and her work on her website.

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