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CHAPTER N-gram Language Models - Stanford University
www.web.stanford.edusimpler than state-of-the art neural language models based on the RNNs and trans-formers we will introduce in Chapter 9, they are an important foundational tool for understanding the fundamental concepts of language modeling. 3.1 N-Grams Let’s begin with the task of computing P(wjh), the probability of a word w given some history h.