What are the main challenges of NLP when it comes to non-English languages?
Some main challenges include limited training data, diverse linguistic structures, and cultural nuances.
Can you elaborate on the issue of limited training data?
Certainly! Many non-English languages have less available text data, making it hard to train effective models.
What about the linguistic structures? How do they differ?
Linguistic structures can vary greatly; for example, some languages are agglutinative, while others are isolating, affecting parsing.
Are there any specific examples of languages that pose unique challenges?
Yes, languages like Chinese and Arabic have unique scripts and grammar that complicate tokenization and understanding.
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