In the midst of concerns and unsettling scenarios surrounding the integration of AI into content production, editing, and localization, it's crucial to question whether AI genuinely poses a threat to Language Service Providers (LSPs) and individual localization professionals.
“I have seen much change in almost 40 years of using computers for translation, but the industry's reactions always seem to be the same. We are always on the verge of extinction; we are always underpaid; we are always exploited by the big guys. And this time, the threat is real!”
This is how Renato Beninatto, Co-founder of Nimdzi, puts it. To grasp the true impact of AI on the localization industry, it's essential to deepen our understanding of the challenges confronted by today's Language Service Providers (LSPs) and media localization companies. As we move ahead, there's a need to critically examine the role of profound digital transformation and AI. Even if AI presents unexpected challenges for industry players, could it also serve as a remedy for navigating the future?
This article aims to illuminate this subject. Additionally, we'll delve into what buyers seek and why it's crucial to recognize that we shouldn't adopt an "either-or" approach. Embracing the human-in-the-loop model becomes pivotal for localizing stories in today's interconnected world.
What is LSP?
LSP stands for Language Service Provider. The language services industry is undergoing substantial global growth, with a projected market value of US$96.21 billion by 2032, compared to the current value of US$60.68 billion. Language Service Providers (LSPs) play a pivotal role in assisting clients in overcoming language barriers and ensuring effective communication. This umbrella term encompasses a diverse array of professionals and organizations, including translation agencies, freelance translators, interpreters, subtitlers, localization companies, and others.
Revealing the Challenges in the LSP Industry
➊ Surging Demand: As businesses increasingly acknowledge the importance of localizing their content to access new markets, the demand for localization services has soared. According to the recent TTI report by Trados Translation Technology Insights, 45% of Language Service Providers (LSPs) noted an uptick in project files, while 38% experienced an increase in customer requests over the past year. Global economic uncertainties and inflationary pressures have prompted corporations worldwide to tighten their budgets, creating a delicate balancing act for LSPs. They must meet translator demands for fair compensation while satisfying client expectations for faster and high-quality translations.
➋ Speed: Clients now expect quick turnaround times to address their time-sensitive business needs, placing considerable pressure on Language Service Providers (LSPs) to streamline their processes and expedite project completion. Automation, particularly in the form of AI, proves invaluable in reducing manual effort, minimizing human error, and expediting repetitive tasks. Unlike most automation systems, AI employs neural machine translation and self-learning systems that identify issues in translation memory segments. This capability allows LSPs to deliver translations more rapidly while upholding higher-quality standards.
➌ Talent Shortage: Acquiring and retaining talent poses significant challenges for Language Service Providers (LSPs), especially noticeable for certain languages. This scarcity can make it challenging to meet demands on short notice and retain linguists for less common languages. To tackle these hurdles, LSPs are increasingly turning to automation as a means to reduce costs and enhance efficiency. It's noteworthy that Generation Z highly values innovative tools that boost productivity and efficiency at work. They are also attracted to organizations embracing hybrid working practices.
➍ Quality Assurance: Despite strides in automated translation, ensuring quality throughout the translation project still requires human expertise. LSPs can harness a blend of AI and digital tools for initial translations, followed by comprehensive human review and linguistic checks. As an example, within Ollang's system proficient linguists have the opportunity to review AI-generated translation suggestions rather than starting the process from scratch. This synergy between AI and human expertise ensures a balance between efficiency and maintaining translation quality.
Digital Transformation: Ally or Threat for Localization Professionals?
In the wake of the digital transformation sweeping through diverse industries, localization professionals stand at a crucial juncture: Is digital transformation a valuable ally, enhancing their creativity, or does it pose a threat to their very existence?
Digital transformation might phase out specific services and roles in the localization industry, particularly those involving heavy human labor and repetitive processes. However, adept multi-skilled localization companies and translators, effectively leveraging AI-enabled technologies, can navigate these challenges. Cultivating a culture of innovation and an early embrace of emerging tech empowers teams to actively shape change.
Victoria Petrock, principal analyst at eMarketer, emphasizes, "These new technologies are having a significant impact on the language services industry. While they still can't replace human expertise, they are dramatically changing the workflow. People who embrace the technology and use it to their advantage will ultimately come out on top."
This perspective underscores that, although new technologies cannot replace human expertise, they are reshaping workflows, and those who embrace and leverage them will emerge as industry leaders.
Meeting Buyers' Expectations
Drawing insights from interviews conducted for the Nimdzi 100, clients hold several key expectations that they wish Language Service Providers (LSPs) to fulfill. These expectations encompass:
➨ Swift and punctual project delivery.
➨ Flexibility to cater to diverse quality and budget requirements.
➨ LSPs acting as strategic partners, assuming responsibility for the entire localization process.
➨ Providing a comprehensive suite of services as a one-stop-shop.
➨ Harnessing the capabilities of AI and machine learning for heightened efficiency, all while upholding the importance of skilled translators' expertise to ensure accuracy and maintain high-quality standards.
In essence, buyers in the language service industry seek seamless collaboration facilitated by robust AI and machine learning software. This software automates processes without compromising on high-quality standards. Buyers desire immediate access to translators and editors, the ability to manage projects and monitor progress on a unified platform, and smooth payment processes—all within a streamlined delivery system like Olabs. This aligns with the industry's evolving landscape, emphasizing the fusion of cutting-edge technology with human expertise for optimal results.
Moving Beyond "All-or-nothing": Fostering Human-AI Collaboration
AI translation solutions bring substantial advantages to linguists and businesses, such as reducing translation errors, ensuring brand consistency, accelerating time-to-market, expanding localization budgets, and meeting growing content demands. Through AI, linguists can redirect their focus to their expertise and creativity, as the intricate task of syntax generation is seamlessly handled by the technology.
This collaboration enhances productivity and effectiveness in crafting multilingual content, illustrating the synergy between advanced technology and the irreplaceable touch of human ingenuity.
Enhancing Value for Our Partners at Ollang
For a media localization company like Ollang, striving to create a language-free world, emphasizing value beyond cost is essential. This philosophy shapes our approach to business, driving our commitment to enhance our localization platform OLabs. Our motivation is to provide faster turnarounds, higher-quality translations, and customization based on the specific needs of our partners.
Let's briefly explore what Olabs is and what it enables you to do.
The Dashboard For All Your Content Localization Needs
Among other outstanding features, we highlight four sections that our partners find most beneficial for their localization projects.
1. Order Creation: Choose your order type, whether dubbing, subtitling, or document translations. This step allows you to upload multiple videos simultaneously and select multiple languages. Once your order is placed, opt for the artificial intelligence solution from Ollang or the human-in-the-loop solution involving thousands of linguists and translators.
2. Projects: This section consolidates all your current and future orders. Organize them with folder, project, and order categories for seamless tracking and management. Pin important folders or receive notifications for updates – all easily managed in this section.
3. Teams: Why shoulder the entire workload alone? Invite your teammates to Olabs and manage your team effortlessly on this page.
4. Help: Encountering issues with project orders or using Olabs? Refer to the user guide or create a help request. Our 24/7 customer support team is also available for urgent matters.
At Ollang, we are committed to providing not just a tool but a comprehensive solution that empowers our partners in the ever-evolving landscape of content localization.
Final thoughts
You can widen your global reach with the AI-powered Olabs, ensuring that your stories resonate with and are understood by audiences worldwide. Explore our full range of services today, unlocking limitless possibilities for your business in the global market.