Book Reviews: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

By Dan Jurafsky, James H. Martin. 2000

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Generating Sentences by Editing Prototypes (2017, background): “, 2014) have been widely used due to their flexibility and performance across a wide-range of NLP tasks (Jurafsky and Martin, 2000; Kalchbrenner and Blunsom, 2013; Hahn and Mani, 2000; Ritter et al., 2011).”
Lessons from Building Acoustic Models with a Million Hours of Speech (2019, neutral): “1Arguably the first speech recognition system [4].”
Evaluation of Text Generation: A Survey (2020, background): “Long text consists of groups of sentences structured together by linguistic elements known as discourse (Jurafsky & Martin, 2009).”
Measuring Model Biases in the Absence of Ground Truth (2021, methodology): “By treating a classification model’s predictions for a given image as a set of labels analogous to a “bag of words” [17], we rank the biases that a model has learned with respect to different identity labels.”
Usage‐Based Language: Investigating the Latent Structures That Underpin Acquisition (2013, background): “1, March 2013, pp. 25–51 30 categories from the conspiracy of concrete exemplars of usage following statistical learning mechanisms (Bybee & Hopper, 2001; Christiansen & Chater, 2001; Ellis, 2002; Jurafsky & Martin, 2009) relating input and learner cognition.”
Synthesis Lectures on Human Language Technologies (2009, methodology): “…MC_MorganClaypool(T ght)_Ch00. ndt Achorn Internat onal 02/23/2009 01:23PM 6 SPoKEN DIALoGUE SySTEMS most likely word string W can be computed for a given acoustic signal X using an appropriate search algorithm (for a comprehensive description of speech recognition, see Jurafsky and Martin, 2008).”
Interactive and interpretable machine learning models for human machine collaboration (2015, methodology): “Automatic semantic role labeling [76], for example, can be used to detect the argu-”
Handbook of Research on Learning and Instruction (2011, background): “Thus, children were taught to move based on elite, adult movement models rather than developmentally appropriate patterns such as those that Roberton (1982) described.”
Sentence similarity based on semantic nets and corpus statistics (2006, background): “A meaning is conveyed in a limited set of patterns, where each is represented using a regular expression [14] (generally consisting of parts of words and various wildcards) to provide generalization.”
Measuring L2 Lexical Growth Using Hypernymic Relationships (2009, background): “The system integrates lexicons, pattern classifiers, part-of-speech taggers, syntactic parsers, shallow semantic interpreters, and other components that have been developed in the field of computational linguistics (Jurafsky & Martin, 2000).”