Natural Language Processing (Eisenstein)

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! Series: AI Books · Book deep dive Introduction to Natural Language Processing — Jacob Eisenstein Jacob Eisenstein introduces computational methods for understanding, generating, and manipulating language. The book establishes machine-learning tools before applying them to text analysis. Sequences, trees, and graphs provide structured representations of linguistic information. Accounts of meaning range from formal logic to neural word embeddings. Applications include information extraction, machine translation, and text generation. Publication source Explore: AI & Computer Science · Language & Linguistics Related episodes: Speech and Language Processing - Part 2 (Jurafsky & Martin) · Speech and Language Processing - Part 1 (Jurafsky & Martin)