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Global NLP Natural Language Processing for Non-English Text: Build language-aware programs that work for any language, from Spanish to Swahili
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Publisher: Independently Published
Published: Aug 28 2025
Pages: 212
Weight: 0.64
Height: 0.45 Width: 6.00 Depth: 9.00
Language: English
In a world where over 7,000 languages are spoken, limiting NLP systems to English is no longer an option. Global NLP is your definitive guide to building robust, scalable, and inclusive language models that understand the diversity of human communication.
Whether you're working with French, Arabic, Chinese, or low-resource languages like Swahili or Uzbek, this hands-on book equips you with practical techniques, tools, and design patterns to create multilingual and cross-lingual NLP applications. You'll learn how to handle tokenization, embeddings, machine translation, named entity recognition, and sentiment analysis across languages-using powerful libraries like spaCy, Hugging Face Transformers, and fastText.
Inside, you'll discover:
The unique linguistic challenges of non-English text
Best practices for preprocessing and tokenizing diverse scripts and language structures
Strategies for building and fine-tuning multilingual models
Tools to work with low-resource languages using transfer learning and zero-shot techniques
Real-world case studies in global content moderation, chatbots, and cross-language search
Whether you're a data scientist, machine learning engineer, or NLP researcher, Global NLP gives you the skills to build inclusive, global-first language technologies that scale across cultures and continents.
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