You are building a chatbot for customer support and need it to understand user queries in multiple languages. Which NLP technique would be most beneficial in handling multiple languages with a single model?
- Named Entity Recognition (NER)
- Sentiment Analysis
- Machine Translation
- Part-of-Speech Tagging
Machine Translation is the most beneficial NLP technique for handling multiple languages with a single model. It allows the chatbot to translate user queries from various languages to a common language for processing. NER, Sentiment Analysis, and POS tagging are useful for different tasks but do not directly address multilingual support.
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