bengali-nlp

原文涵盖的主题

• Bengali (Bangla) NLP Patterns
• When to Activate
• Bengali Unicode and Script Handling
• Unicode Range
• Normalization
• Conjunct Consonants (যুক্তবর্ণ)
• Bengali Digits
• Tokenization

Best practices for processing, storing, and displaying Bengali text in software applications and AI systems. Working with Bengali/Bangla text data Building apps targeting Bengali-speaking users Processing NCTB (National Curriculum and Textbook Board) educational content Implementing Bengali search, autocomplete, or text input Training or fine-tuning LLMs on Bengali data Building Bengali chatbots or conversational AI Handling mixed Bengali-English (Banglish) text Bengali script occupies U+0980–U+09FF. Key character classes: Always normalize Bengali text to NFC before comparison, storage, or search: Bengali conjuncts are formed with Hasanta (্) between consonants: Never split strings in the middle of a conjunct. Use grapheme cluster boundaries: Handle both Bengali (০-৯) and ASCII (0-9) digits: Bengali uses spaces between words, but compound words and postpositions can complicate tokenization: Bengali postpositions attach to nouns. Tokenizers should be aware of common suffixes: Common Bengali stop words to filter in search/NLP pipelines: Keep negators such as না, নয়, and নেই out of a generic stop-word list. They change intent and sentiment, so remove them only for a task that explici

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