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The global mental health crisis is undeniable, affecting millions across every continent. Yet, access to quality support remains a significant challenge, often compounded by linguistic barriers. Imagine needing help but being unable to articulate you...

In recent years, AI translation has come a long way. The tasks that demanded the use of intricate rule-based systems or considerable human participation are now more and more being performed by AI translation models that can understand the context th...

Artificial intelligence has played a vital role in transforming the digital landscape but one of the areas where the impact of AI is directly felt is in translation. Translators have relied on their expertise, the use of dictionaries and the intuitio...

By Apurva KanthPublished on Hashnode 💭 The Problem: When Neural Networks Don’t Know a Word Traditional Neural Machine Translation (NMT) systems work with a fixed vocabulary — often limited to around 30,000–50,000 words. But languages are full of ra...
