How Chatbots are revolutionizing the Localising Industry
The second generation of chatbots has come a long way from the robotic, single-word error-factories as we might remember from not so long ago. Thanks to advancements in artificial intelligence, shared open-source efforts, and a revolution in NLP. These interactive interfaces are rolling out on websites; they can converse with people and understand them in a human-like manner.
One of the most exciting areas of advancement in chatbot technology is a bot’s ability to singlehandedly understand not just tens but hundreds of different languages, and to converse in each one fluently, not just mechanically translate back and forth. This feature makes chatbots an indispensable asset for businesses which consider expanding outside their current local market and into countries with an entirely new audience, and new languages.
To maintain a physical presence or suffice with an online existence, users prefer to interact with brands in their native language. A Common Sense Advisory study found that 60% of consumers would never make purchases from English-only sites. In comparison, 67% prefer content in their language, and 75% want to carry out purchases only in their native language. These statistics indicate that the customers who are willing to invest financially in your brand choose to understandably do so in the language they are most comfortable speaking. The most recent development is the rather successful implementation of various Deep Learning techniques to Natural Language Processing (NLP) Algorithms in Automated E-Mail replies, Language Translation, Image Captioning, etc. The chatbot’s ability to perform deep learning and generate multiple data representations removes the need for human-engineered features. Evidently, Deep learning is playing an essential role in building conversational AI.
Some of the critical features of this are short text understanding and classification, extraction of information, sentiment examination, response production, and automated speech recognition (ASR).
Bringing into use a chatbot that speaks only the top ten common languages opens up conversations to over three billion people worldwide. Also, bots that know more than one language perform better at tasks than monolingual bots. They grasp word contexts and relationships better. Not only can bots be trained to converse in human languages, but can also be prepared to recognize informal texts, internet lingo, or even typos that might confuse the average human agent.
One could always try and localize FAQs, knowledge bases, and critical webpages. Hiring or training customer service reps in every potential language your customers may speak is also a possibility. Still, chatbots are the simplest, fastest, and most cost-effective solution to all these localization challenges.
By Ira Mahajan
Team Loc-N-Apps
