<p>The rapid development of corpus-based, statistical, neural, and large-scale data-driven approaches has profoundly reshaped natural language processing (NLP). However, the increasing dominance of empirical methods has also raised questions about the role of handcrafted linguistic resources, such as electronic dictionaries, grammars, local grammars, lexicon-grammar tables, and formally encoded linguistic descriptions. Linguistic Resources for Natural Language Processing: On the Necessity of Using Linguistic Methods to Develop NLP Software, edited by Max Silberztein, provides a critical and systematic discussion of the necessity of linguistic resources in NLP. Through theoretical discussion and case studies involving natural language generation, machine translation, low-resource languages, and multiword units, the volume demonstrates that linguistic methods remain essential for building reliable, interpretable, and linguistically informed NLP systems.</p>