The AI Revolution and Its Impact on the Translation Industry

Divyesh Sureja
Divyesh Sureja
Published: April 5, 2024
Read Time: 4 Minutes

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    It is not an exaggeration to say that the translation industry has played a pivotal role in developing and communicating human lives. Since the wake of humanity, language has been the main bridge between the divine and humans. So for thousands of years and to date, the role of language has been to create, acquire, and cultivate cultural values and social norms. 

    Fast forward to the modern times of the 1900s and 2000s, globalization made the role of languages twofold, especially when coupled with translations. Primarily, the main reason was globalization trends and the need and requirements to become multinational. Cross-border trade has become the new fashion in the form of e-commerce forums, SaaS products, and services. There are dozens of online platforms working globally to facilitate trade and selling goods and services, providing substantial growth opportunities. 

    It feels unrealistic to imagine the modern leap of advancements without the role of translations. And we won’t be able to achieve the full potential of translations without the role of modern technology like artificial intelligence, machine translation, and other CAT tools. Not only the inception of these technologies, but also the striking accuracy and precision of translation tools are paramount. Today we are going to recap the role of technology and AI in the advancements of translation technology and tools. 

    Collective Technological Leap of Faith Over the Last Decade

    As of today, we are witnessing the practical implementation of augmented reality, virtual reality, and its impeccable consumer applications. Gen Z is the first generation that has seen the rift from manual processing to the rule of automated processing and governance. Below is a brief history of the technological stride over the last decade. In terms of the advancements in computer-assisted tools, there are substantial upgrades in the suite of tools we call CAT tools. 

    “Automation is the favorite child of globalization.”

    In the field of translation and localization, there is now an array of assisted software to enhance the quality and improve the delivery time. Convenience, risk/error reduction, and customizable adaptability are the desired outcomes of advanced AI-powered CAT tools. 

    Let’s recap the technological advancements of the last decades in the arena of AI, software, globalization, and communication to get the full picture of where we were and where we are going.

    Point of Interaction

    Information

    & Support 

    Computation 

    Timeline

    Technology Trends

    Key Marketing Focus

    Neural Machine Translations

    Support of Dozens of Language Pairs

    Extraordinarily Efficient

    2024

    Automation is the New Normal

    Precision and Accuracy

    Improved Versions of AI Tools

    A Glimpse of True Spectrum of AI

    Above the Clouds

    2023

    Flexibility of Technology

    Globalization

    Post-COVID Challenges & The Wake of Open AI

    Data Sharing is the New Easy

    Blockchain in Business

    &

    Clouds go Vertical

    2022

    Physical Tech Stack

    Globalization

    Digital Workplace is the New Challenge and Ease

    Machine Data Solutions 

    &

    MLOps Industrialized AI

    2021

    Supply Unchained

    Globalization

    Human Experience-Oriented Platforms

    2020

    Advancements in Software Architecture

    Globalization

    Intelligent Interfaces are the face of Marketing

    AI-Fueled Organizations

    2019

    Future of Connectivity

    Globalization

    Digital Reality is in Vogue

    Enterprise Data Sovereignty

    2018

    Business Process Reengineering (BPR)

    Localization

    Mixed Reality is Trending

    Deep Analysis

    &
    Machine Intelligence

    Blockchain to Blockchains

    2017

    The architecture of IT Infrastructures

    Localization

    Internet of Things
    AR & VR are in Vogue

    Industrialized Data Driven Decisions

    Trust with Limited Access

    2016

    Autonomic Platforms

    Translation

    Dimensional Marketing

    Amplified Intelligence

    API Economy

    2015

    IT Worker, Software learning is the future

    Translation

    Top Languages by Number of Speakers & Today’s Translation Industry

    Language service providers are language craftsmen. The translation service has many sections, like interpretation, transcription, localization, instruction, project management, and others. Technical translators, industry-specific translations, legal, medical, and engineering translations, etc. Most of the translations are covered by the technical translators. 
     

    Language

    Native Speakers

    Chinese

    1.3B

    Spanish

    475M

    English

    373M

    Arabic

    362M

    Hindi

    344M

    Bengali

    234M

    Portuguese

    232M

    Russian

    154M

    Hindi is the fifth most spoken global language. The number of its native speakers accumulate to a whopping 344 million. Businesses, brands, and companies are looking to expand to and from Hindi markets to attract potential clients and customers. Translation and localization is one of the key prerequisites of the recipe of globalization and internationalization. Whether it is software, website, document, legal or technical document, language service providers are hired to get the message and information across borders, institutes, and industries. 

    The food for the thought is the essential technical knowledge that is required to select any Hindi translation services. The size of your business, brand, or company is also relevant. The goods and services your company is offering also play a somewhat defining role in its acceptance, branding, and acceptance. Look at the current market size of the language industry and future predictions
     

    Market Value

    2022

    2023

    2024

    Predictions till 2032

    Language Service Market Size

    USD 54.02 Billion

    USD 55.13 Billion

    USD 59.41 Billion

    Language Service Industry

    USD 60.68 Billion

    USD 96.21 million

    Compound Annual Growth Rate (CAGR)

    7.8% & Increasing

    Upgradation and Implications of Technology in Translation Industry 

    Above all, the invention and advancements in the area of machine translation is paramount and changed the conventional ways of how we do translations. There is no doubt about the improved quality of modern machine translation engines. But when it comes to delivering results that meet the customized requirements of clients/industries, machine transitions are far from perfect. Here comes the definite role that the language service provides. 

    The goal of every translation services company is to provide results that are according to the requirements and culturally and linguistically accurate. Analyzing the unprecedented speed of the advancements in neural  machine translation, people start to believe that it is more than enough to get the job done. But the idea to replace human translators with machine engines is far from reality, at least as of now. Says the team at Translayte.  Let’s look at the past and present of some factors of machine translation that constantly need improvements. 
     

    Characteristics

    Before the 2000s

    After the 2000s

    Supported Languages

    Limited Languages are Supported
    (English, French, and Spanish)

    A large number of languages are supported

    (GT supports more than 100 languages) But is it Accurate?

    Accessibility

    Bad

    (software installation was required and it was very costly)

    Available to Everyone

    (Site translation and the document supported translations)

    Accuracy

    Low
    (Misunderstanding of the Context)

    Medium
    (Improved Context Recognition)

    Speed

    Slow
    (Limited resources, complex algorithms, and translation technology)

    High
    (Text is ready after a few seconds)

    Takeaways

    In conclusion, the whole workflow of the translation services industry is revamped by the inclusion of AI tools. Moreover, to enhance the project delivery speed and maintain the translation quality, AI tools are prevalent to rectify errors, inconsistencies, and stylistic errors and nuances. In the ever-evolving landscape of translation and localization, AI tools proved to be not only a paradigm shift but also open the doors to limitless possibilities. 

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