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Improving Language Detection Accuracy

To improve language detection accuracy, it's essential to consider various factors, including the complexity of the text, the presence of code snippets, and the use of domain-specific terminology. One approach is to utilize machine learning algorithms that can learn from large datasets and adapt to new language patterns.

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Handling Code Snippets and Special Characters

When dealing with code snippets and special characters, language detection can become more challenging. To overcome this, it's essential to consider the following strategies:

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Integrating with Other NLP Tasks

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