The 2024 Slator Pro Guide: Translation AI is a must-have for language service providers and localization teams, providing a concise snapshot of the latest practical applications of large language models (LLMs) in translation.

This year’s guide provides an update on the 10 practical LLM use cases that we presented in the previous year’s edition. Plus we’ve added 10 new LLM use cases that have significant potential to transform the language industry.

The resulting 20 one-page, practical use cases — each presented as a visually engaging infographic — are drawn from research and interviews with the industry’s leading language technology providers.

Find out how LLMs can be used to enhance translation quality, streamline workflows, optimize linguistic assets, and produce customized, industry-specific translations with ease.

We outline how LLMs can enable workflow orchestration, apply client assets to content generation, prepare source texts for translation, select MT models, and more.

Send us an email or connect via chat if you prefer to purchase the report via invoice.

The guide provides a concise snapshot of how automatic post-editing works, shows how RAG can increase translation accuracy, and outlines the potential of agentic systems to automate translation workflows. 

This 30-minute read will get you up to speed on the value that LLMs can add to your company and the new workflow options available to you today.

Each use case explains the basic concept and the practical implications. This is accompanied by a value-add score which corresponds to the potential value-add to an LSP’s service offering, allowing LSPs to quickly and easily identify the potential benefit that it can bring to the business.

The report provides a succinct list of translation management and productivity technologies that currently offer LLM capabilities, equipping you with the information you need to confidently navigate the range of technology options.

Having analyzed the use case and industry technology, the report goes on to cover the opportunities that each use case has on different industry verticals that require translation and localization services, and presents an overall industry impact analysis for language service providers.

Finally, the report provides insight into the user perspective of the existing LLM use case within the translation management and productivity technologies, and presents high-level risks and limitations that each use case may create.

By leveraging LLMs, language service providers (LSPs) can untap new value for their customers that were previously out of reach. This in turn creates opportunities for new revenue streams, increased profit margins for existing service offerings, and productivity efficiencies that allow LSPs to provide more competitive turnaround times.

The report is designed to provide a high-level overview of each use case, allowing the LSP to quickly and easily understand the current market capabilities, and to decide whether they should leverage these capabilities from off-the-shelf products, or consider implementing these functionalities into existing home-grown applications.

This Pro Guide serves as a vital, time-efficient briefing on the new landscape of AI in translation.

How to Use This Report

Slator’s easy-to-digest 2024 Pro Guide: Translation AI offers the very latest industry and data analysis, providing language service providers and end clients the confidence to make informed and time-critical decisions. It is a cost-effective, credible resource for busy professionals.