Large Language Models Are Valuable Assistants for Translation Project Managers

Large Language Models Are Valuable Assistants for Translation Project Managers

Large language models (LLMs) are capable of tackling a diverse array of language tasks ranging from text classification and sentiment analysis to information extraction and summarization. Their potential for changing workflows, resources, and market dynamics within the translation sector is underscored in the 2023 Slator Language Industry Market Report

The language industry delves into exploring the potential applications and use cases including machine translation, multilingual text generation, and translation quality estimation

Beyond translation tasks, LLMs prove to be valuable tools for translation project managers. In the intricate orchestration of tasks, deadlines, collaborations, and data-driven decisions that define translation project management, these powerful tools offer a world of possibilities, streamlining processes, and enhancing productivity. 

Embracing AI-driven language tools presents the potential to overhaul project coordination, streamline communication, and surmount challenges, ultimately elevating project efficiency, fostering creativity, and enriching communication prowess.

In an article published in June 2023 by the Marie Curie Alumni Association, Jonas Krebs, scientific project manager and coordinator of the projects area at the “Strategy and Funding” office in the Centre for Genomic Regulation, sheds light on how LLMs may empower project managers in various ways. LLMs, such as ChatGPT and Bard, have the potential to change project management workflows and simplify tasks, making them “valuable assistants in project management routines,” said Krebs.

Communication Is Key

Effective communication lies at the core of successful project management, as emphasized by Krebs. LLMs can play a pivotal role in helping project managers craft clear and easy-to-understand messages, emails, and reports. With their assistance, project managers can avoid lengthy emails, obscure jargon, and misinterpretations that can hinder progress. Furthermore, these AI tools can be beneficial for project managers who are not native English speakers, as they can help improve language skills and reduce language-related barriers.

Krebs provided in this article practical examples of prompts that project managers can use to achieve effective communication, such as:

  • “Summarize [text] in exactly xx words” 
  • “Shorten this email by 30%” 
  • “Rephrase this text to make it [more casual/first person/humorous]”

Another critical aspect of project management is handling challenging discussions among team members, stakeholders, or upper management. Addressing performance problems, late deliveries, or missed deadlines can be daunting. Here, LLMs can offer support by providing personalized blueprints for such conversations, role-playing scenarios, and identifying potential compliance concerns. With these AI-generated insights at their disposal, project managers can approach difficult conversations with more confidence and finesse.

Forget Tedious Tasks

According to Krebs, LLMs can also serve as valuable brainstorming partners, providing alternative perspectives and data-driven insights. When confronted with unexpected challenges or roadblocks, project managers can turn to LLMs to explore a wider range of potential solutions. These AI tools can help project managers to think outside the box and drive innovation within their projects.

Furthermore, LLMs can be integrated into other applications unlocking new and exciting possibilities for project managers. Notably, Krebs mentioned two exemplary cases: Read AI and VirtualSpeech. Read AI is a dashboard for virtual meetings that uses LLMs to document meetings, and measure engagement, performance, and participant sentiment. It automates the process of creating meeting minutes, summaries, and action points, saving project managers from this tedious task. VirtualSpeech, on the other hand, is an AI-powered training tool for improving communication skills.