NiuTrans/MTBook
《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
This book provides a comprehensive guide to machine translation, covering its fundamental concepts and modeling techniques. It takes you from the basics of statistical machine translation to advanced neural machine translation models, offering a deep dive into how machine translation systems are built and evaluated. The content is ideal for university students in computer science or artificial intelligence and researchers working in natural language processing.
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Use this if you are a student or researcher seeking to understand the core theories and practical models behind machine translation technology.
Not ideal if you are looking for a simple, plug-and-play tool for immediate document translation without diving into the underlying computational linguistics.
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