Artificial Intelligence (AI) is a propelling force for a physically locked-down world paving way for digital transformation. With promising translation and localization abilities, AI is opening opportunities for businesses to target new markets across borders. As a well-experienced provider of AI development services , Oodles AI sizes the potential of AI for localization and translation of digital content.
Let’s explore how AI performs localization to optimize digital content and improve customer satisfaction beyond translation.
How AI Performs Language Translation
Language translation with AI employs machine learning (ML) algorithms to understand the meaning and relationship of words and phrases. Under data science, the AI approach to language translation is termed as “Neural Machine Translation” or NMT. Within the approach, an ML model interprets the language’s intent and predicts the lily sequence of words.
The architecture of an NMT model as explained by researchers at Google.
NMT has demonstrated significant potential for decoding the meaning of the source sentence and using a deep recurrent neural network for final translation. Contrary to the earlier versions, namely ‘Phrase-based MT’ and ‘Syntax-based MT’, NMT has achieved remarkable accuracy in translation with these three big wins-
1) End-to-end training
2) Better representation of the word and phrase similarities
3) Greater utilization of context
AI for Localization: Delivering Omnichannel Experience
Considering the dynamics of consumer demands globally, NMT has emerged as a boon for the digital landscape. Aimed at improving customer interactions, machine learning development t and NMT are beginning to enter global business setups including call centers, news outlets, eCommerce, and online learning platforms.
Deploying AI for Localization and Translation With Oodles AI
Customized Chatbots
AI-powered chatbots are becoming a household name with a majority of businesses adopting chatbot development services to automate customer interactions. Now, AI can make more contextual conversations by translating responses to the local language for better user engagement.
Learn more: AI for Localization: Future of Web and App Translation