Persian natural language processing: opportunities and challenges for AI

1Introduction

NLP lets computers understand, analyse and generate human language; large language models now make Persian chatbots, summarisation and sentiment analysis practical.

2Discussion

Persian poses specific challenges: zero-width non-joiners and spelling variation, shared Arabic script with differing ye and kaf characters, rich morphology and scarce labelled corpora.

Careful preprocessing — character normalisation, ZWNJ correction, stemming — and fine-tuning multilingual models on domain data such as banking and legal texts markedly improve results.

3Conclusion

For Iranian organisations, Persian NLP enables customer-service automation and knowledge extraction, provided confidential data is protected and accuracy is continuously evaluated.