As we approach the end of the year, it is clear that 2023 was the year of the big linguistic paradigm. Its best representative, ChatGPT, among other generative AI tools, has piqued the interest of many business professionals. Businesses are leveraging AI to break down bottlenecks and scale services to new heights. Amid the hype, a great deal of progress has been made around the application of artificial intelligence in the field of translation and localization.
During times of disruption, accurate data from various stakeholders is critical to making informed business decisions; While general information is readily available, it is often difficult to obtain specific insights into market segments and key players. New Boostlingo The state of artificial intelligence in linguistic services The report highlights an important but smaller segment of the language services market: on-demand remote simultaneous interpretation. This niche area, which does not receive as much media coverage as other language services, is seeing its own transformation in the field of artificial intelligence. Our report identifies trends and provides new insights into the uneven impact of AI on interpretation and the language services market as a whole.
We recently asked more than 250 language service providers and on-demand remote interpreters about their current use, perception, and future outlook for AI in language services. Here’s what we found:
Artificial intelligence improves interpreter performance
The integration of AI tools, both mainstream and niche, has been a game-changer for the on-demand remote interpreters implementing them – 85% He shared that AI has improved the quality of services they provide. Here’s a closer look at their experiences:
Improved search for vocabulary and terms: AI tools help interpreters who frequently encounter unfamiliar terms. One translator shared how terminology management tools help them find new terms during live interpretation sessions, helping them save time and improve service quality. Another shared how using ChatGPT as an interpreter assistant allowed them to quickly react to new words. This is also applied when searching for terms or slang, providing quick access to translations or explanations.
Note-taking, understanding accents, and validating: The use of live AI captions has been particularly useful for interpreters when dealing with long speeches. One translator said they were able to take notes more effectively and refer back to translations for accuracy, which reduced their cognitive load. Other translators shared that they were using captions to understand speakers with strong accents to highlight certain words. However, relying on these tools is not absolute, they sometimes fail. Interpreters need to maintain current strategies, such as taking notes by hand and asking for repetition. We’ve also found that live captions are being used as well as tools like Linguee to validate translations. Interpreters compare their interpretations with AI-generated translations to ensure accuracy.
Terminology research: In specialized fields such as healthcare, AI tools help search for complex medical terms, ensuring interpreters are accurate and up-to-date in their use of language.
Context sensitivity and distractions: There are limitations when using artificial intelligence during simultaneous translation. Some interpreters have pointed out that AI tools like DeepL have difficulty dealing with context-sensitive phrases and language nuances. This results in translations that are only partially accurate, highlighting the current limitations of AI to fully understand the subtleties of language and communication, an area in which human interpreters excel. There are also cases where AI tools provide terms that are out of context or wrong, leading to confusion and distraction.
There is a learning curve for remote interpreters
While the benefits of AI were clear to those who used it, 48% of on-call remote interpreters said they were not familiar with AI tools in simultaneous translation.
One translator said they felt somewhat uninformed. He had seen people talking about AI online, but he didn’t understand how it applied to him as an interpreter. This sentiment makes sense when you consider the unique circumstances of this globally distributed workforce. Often, on-demand remote interpreters’ only exposure to technology comes through their relationship with language services companies. While artificial intelligence may be making headlines, the Nepal-based interpreter who accesses the Internet only through a company-provided laptop may not have had the opportunity to explore the technology in depth.
Much like the training and standards available for on-demand remote interpreting, the onus will likely fall on language service providers and employers to bridge the knowledge gap and use AI for interpreters. Fortunately, new essential resources available for this young profession, such as the “Remote Interpreter” textbook, indicate that dedicated resources and professional standards for remote interpreting are being taken seriously and will eventually take some of the burden off language service providers.
LSPs will consider AI in 2024
Language service providers are Looking cautiously To integrate artificial intelligence into their operations and services. 45% They shared that they were planning to increase their use of AI tools in the next two years 41% They think about it actively. We observed that LSPs demonstrated a cautious and open approach to AI. Many are still evaluating AI capabilities and quality levels, especially in captioning and interpretation, and are undecided on specific tools.
Here are some of the different AI tools and strategies being considered:
For linguistic services:
- Automate processes through machine translation and pre-compiled work
- Implement language recognition and transcription
- Use multilingual AI transcription
- Translate and scale post-production services using AI
- Caption
For custom processes and solutions:
- Copy
- Custom chatbots
- ChatGPT
- Artistic generators for content creation
- AI-powered sales insights
- Recruitment and automation tool
What then?
2024 will be a transformative year for language service providers. The intersection of AI and language services is set to become an increasingly important area of growth and innovation. Cautious optimism will be a favorable strategy for language service providers as the industry explores the potential and limitations of AI, balancing technological advances with the need for accurate and context-sensitive language services.
While embracing the capabilities of AI, it is important to recognize its role as an augmentative force rather than a replacement in the interpreting profession. Although AI can be transformative, it cannot replace the nuanced understanding and emotional intelligence that human interpreters bring to high-stakes fields such as healthcare and legal translation. Human interpreters excel at understanding cultural subtleties, idiomatic expressions and non-verbal cues, and dynamically adapt to evolving conversations. This adaptability, rooted in deep contextual awareness, is something that AI currently struggles with, underscoring the irreplaceable value of human expertise in situations requiring high precision and sensitivity. As we integrate AI into our workflow, it is essential to highlight these uniquely human strengths, ensuring that AI is viewed as a complementary tool that enhances but does not replace the human element in language services.
For interpreters, AI tools such as terminology management and live annotations can significantly improve their performance, providing improved vocabulary searching, note-taking efficiency, and terminology searching, but there is still a significant learning curve among the remote interpreter workforce. With nearly half of remote interpreters reporting unfamiliarity with AI, language providers and technology providers need to facilitate training and resources to help these professionals harness AI tools effectively.
Download the State of AI in Language Services report for free
If you find these ideas interesting and want to dig deeper, check out our site 38 pages The State of AI in Linguistic Services report on the current use and sentiment of AI in linguistic services and the future outlook for it. This free resource provides a fresh look at the impact of AI technology on the language industry, specifically on remote interpretation services. It helps provide language service providers, interpreters, and technology enthusiasts with data and trends to make informed decisions about new technology.
By postlingo
Boostlingo’s State of AI in Language Services report provides vital insights into the intersection of artificial intelligence and language services. The report highlights three key insights that are crucial for understanding the impact of AI on language services. From the growing use of AI-powered translation tools to the increasing demand for machine translation and the evolution of AI in interpretation services, this report sheds light on the current state and future prospects of AI in language services. As the language industry continues to evolve, understanding these insights is essential for staying ahead of the curve and effectively leveraging AI technologies.