Applied spaCy: Practical Techniques for Building Robust NLP Pipelines and Production Systems (Paperback) (ISBN-13: 9798267282147)

Applied spaCy: Practical Techniques for Building Robust NLP Pipelines and Production Systems is a hands-on guide that teaches engineers and researchers how to design, build, and maintain industrial-grade NLP solutions using spaCy. Grounded in real-world workflows, the book moves beyond tutorials to demonstrate practical decisions and patterns for reliable, scalable systems-covering environment and dependency management, cross-platform deployment, and how spaCy fits within the broader NLP ecosystem alongside tools like NLTK, CoreNLP, Stanza, and Transformers.

The core chapters unpack spaCy's data structures and pipeline mechanics-tokenization, segmentation, morphological analysis, part-of-speech tagging, dependency parsing, and named entity recognition-while emphasizing extensibility and error analysis. Readers learn to craft custom components, mix rule-based and statistical approaches, handle multilingual and large-scale data, and profile and optimize pipelines for throughput and latency. Annotation best practices, tooling for quality control, and techniques for integrating spaCy with scikit-learn and transformer models are presented as pragmatic, repeatable patterns.

Advanced sections cover the full model lifecycle: preparing data, training and fine-tuning models, active learning, explainability, privacy considerations, and deploying models to cloud and on-device environments. The book closes with production engineering guidance-monitoring, versioning, testing, and continuous improvement-alongside a call to contribute to the spaCy ecosystem and to adopt responsible, ethical practices when delivering NLP systems in the real world.

Author: William E. Clark
ISBN-13: 9798267282147
Publisher: Independently Published
Language: English
Published: 10/12/2025
Pages: 312
Format: Paperback
Weight: 0.92lbs
Size: 9.00h x 6.00w x 0.65d