We have revolutionized the way data science is conducted in French, opening doors to accurate, native-level translation, and making tech more accessible to speakers worldwide.
Native-level solution for French language data analysis
French is one of the world’s most spoken languages. From the Canadian province of Quebec to numerous African and Indian Ocean nations, French serves as a common ground language, bridging gaps between diverse communities. It is the official language of events like the Olympics or Eurovision, and it holds significance within the European Union.
For our customers, a wealth of information is available in French. But to comprehend and make sense of this data, a profound understanding of the language is needed.
A clear advantage over translation services
The decision to build Relative’s own framework for French language analysis stems from our belief that native-level understanding is far superior to translation services. Machine translation can lead to errors and misinterpretations, particularly when dealing with idioms and phrases unique to a language.
Consider the phrase “sucrer les fraises” which in literal translation means “to sugar your strawberries.” However, the intended meaning is entirely different— it relates to having trembling hands.
Analyzing such text through translation can lead to significant errors. For example, the platform could wrongly categorize it into food topics, while perhaps it should be something related to health.
Our model avoids these pitfalls by working natively with the language. By doing so, we ensure accurate and nuanced results, enabling users to have confidence in the output.
Try native precision French text analysis today
Incorporating French with scientific rigueur
We don’t treat French as a second-tier option but as a full-fledged product offering.
Developing native precision in text analysis
The development of the language model was a challenging endeavor. Our team embarked on a journey to construct the topic lexicon. Through this process, our data scientists carefully checked the content and identified potential mistakes.
While some changes were straightforward, others posed more dilemmas. For example, differentiating between various categories, or understanding what is deemed unethical in different cultural contexts requires consideration.
We ensured that the semantic lexicon accurately represented these nuances, leading to a reliable product.
Empowering French speakers worldwide
With more than 300 million speakers worldwide, French is a language that unites communities. By providing accurate insights, we are bridging gaps and making technology more accessible.
At Relative Insight, we are dedicated to breaking language barriers and enabling global insights with precision.
Embrace the power of native-level French text analysis today and unlock a world of possibilities for your business.