The world is beautifully diverse. While we are divided by geographic locations, frontiers, languages, ideologies, and more, we are united by emotions and the way we understand them sometimes through unspoken words.
Unfortunately, computers and machines don’t understand emotions and abstract feelings – yet. Though Artificial Intelligence (AI) is dynamically spreading its wings across industries and market segments, we are yet far from playing charades with it unless we are familiar with English.
And because the world is rich in diversity, it becomes essential to make the internet accessible and inclusive for all people regardless of whether they speak Mandarin Chinese, Japanese, Espanol, Hindi, Russian, or more.
This is exactly why multilingual AI text data becomes crucial in training AI, specifically Natural Language Processing (NLP) modules. In order for machines to deliver human-like experience across languages and geographies, turning AI algorithms into polyglots is the first step.
In this article, let’s explore why it is crucial and some use cases and benefits of doing so.
4 Reasons Why Machine Learning Models Should Be Trained in Multilingual AI Datasets
1. Improve User Experience & Accessibility
Native language user experience is a distinct approach that can change the game for businesses. A report on consumerism reveals that over 55% of the global users prefer to buy products from websites that provide content in their native languages. Besides, websites based on English alone are overlooked by over 87% of the consumers.
While the statistics may not be directly influential, they offer us a peek into the subliminal traits of users. That’s why training models using multilingual AI text data is beneficial for businesses to present content and messaging across their apps, websites, emails, customer services and more in different languages.
2. Gain A Global Competitive Edge
Being multilingual can help individuals seamlessly navigate complexities of the world and find a sense of belonging wherever they go. AI is no exception. For businesses that intend to expand their services and offerings across the globe, utilizing multilingual AI datasets to train their models helps exponentially.
In the age of localization and hyper-personalization, this strategic move can let businesses
- explore new business opportunities
- tap into existing markets by diversifying vertically and horizontally
- deliver exceptional customer services and pave the way for faster and more dependable conflict resolutions and more
3. Mitigate Bias and Consider Cultural Sensitivity
Cancel culture is the modus operandi of netizens today and the internet is swift to take offense at the drop of a hat. When training AI models, it is inevitable that bias is introduced. Such bias can prove extremely harmful to businesses when fetching one-sided results that are either favorable or outright offensive.
However, multilingual AI datasets can help mitigate this bias as they introduce cultural diversity through language-specific intricacies, pronunciations, nuances, context, and more to formulate appropriate responses. This can range from humorous comebacks to sarcastic jibes that only positively elevate user experience and ultimately brand loyalty.
4. Multi-language Insights Retrieval
Despite the world being extremely connected, portions of data and information still remain in silos as indecipherable. Language is a barrier in enabling comprehension of such data that could be of use to businesses and users.
When machine learning models are trained in multiple languages, information that was once non-comprehensible starts making sense. Such insights could turn the tables for businesses in making informed decisions pertaining to specific geographies.
An Overview Of Benefits Of Multilingual AI Datasets Across Industries
Retail & eCommerce
- Localization of content in the form of product descriptions, reviews, customer support, and more
- Improved customer satisfaction
- Increased sales, conversions, and repeat purchases
- Precision sentiment analysis and optimized ORM strategies
Banking & Finance
- Airtight compliance of regulations, mandates, and compliances that are specific to particular geographies
- Seamless analysis of claims, insurance policy details, documents, and more in regional languages
Education
- Availability of vernacular educational content
- Improved accessibility to learners, resulting in retention and sustained interests in completing online learning modules
- Democratization of education, where people can learn Python (for instance) in a language of their choice like Swahili
Travel & Hospitality
- Real-time translation services of phrases, texts, and voices
- Automatic translation of local details such as booking vouchers, messages, travel recommendations, menu cards, do’s and don’ts and more
- Increased scope for lead generation through vernacularization of content
Challenges In Making AI A Polyglot
Like an infant, AI needs to be taught languages from scratch. To do this, AI models and systems must be fed incredible volumes of multilingual AI datasets that are contextually, grammatically, and factually correct.
And it is at this stage that businesses and enterprises face bottlenecks. Sourcing multilingual AI text data requires an additional layer of validation to ensure the input data is right to mitigate incorrect and inappropriate responses. The unavailability of linguists and language SMEs often deter organizations from proceeding with turning their AI into a polyglot.
This is where Shaip excels as a provider of multilingual data services. We specialize in delivering bespoke training datasets based on the language you require. To tackle the challenges we discussed, we deploy a human-in-the-loop protocol, where we have language experts to meticulously scrutinize and validate input data and implement ideal annotation procedures.
This layer ensures precision in the results your AI models generate. Besides, we deliver training datasets regardless of the scale of requirements and format specifications. We can ethically source, compile, validate, and provide data in the form of audio and text in specific languages of your choice.
One of the most daunting tasks of training your AI model to become multilingual is taken care of by us. All you have to do is get in touch to discuss the scope of requirements.
