Showing posts with label artificial intelligence. Show all posts
Showing posts with label artificial intelligence. Show all posts

The Stuff of Thought: Language as a Window into Human Nature Review

The Stuff of Thought: Language as a Window into Human Nature
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The Stuff of Thought: Language as a Window into Human Nature ReviewThe Stuff of Thought: Language as a Window into Human Nature by Steven Pinker
Is there a difference between the meanings of these two sentences?
(1) Hal loaded hay into the wagon, and,
(2) Hal loaded the wagon with hay.
Well, Steven Pinker claims there is a difference and it's a difference that reveals something about the way the mind conceptualizes experience. That is "the stuff of thought" with which Pinker's latest book is concerned, and this "stuff," as he convincingly demonstrates, can be made accessible through a careful analysis of "the stuff of language," i.e., word categories and their syntactic habitats.
In the case of the two sentences above, we can see the human capacity to frame events in alternate ways through the dual function of verbs like "load." This verb draws attention to the hay and its movement in the first sentence, but to the transformation (a kind of metaphorical "movement") of the wagon in the second.
That children can learn the dual use of "load" and the dual conceptualizations that it entails, and distinguish this verb from others (like, say, toss) that don't work in both sentences (E.g., we don't say "Hal tossed the wagon with hay" even though we can say "Hal tossed the hay into the wagon") is evidence that distinct ways of thinking underlie our ability to master language. There are, after all, many thousands of verbs that fall into scores of different categories based on their applicability to different contexts like those involving Hal's hay in the cases above. Pinker believes that our ability to learn the subtle distinctions that control these and other word usages is evidence of their role as reflectors and enablers of the basic elements of human thought, elements like causality, animation, possession, time-as-space, and so on.
Pinker faces quite a challenge in bringing to life profound truths about human nature through a systematic, fine-grained analysis of mundane words like "drip" and "pour," but he succeeds admirably. This is a book that will amply reward a careful reading.
Of course some words are inherently more interesting than others, and for my money the chapter on "The Seven Words You Can't Say on Television" is by itself worth the price of the book. A number of features that help condemn a word to the realm of taboo are revealed here. For example, there are clear syntactic distinctions between the usually unprintable words for sex (which Pinker, I'm happy to report, audaciously prints) and their more presentable cousins, such as have sex, make love, sleep together, copulate, etc. I had never before noticed that the taboo and vulgar forms, which tend to specify physical motion, differ from the non-taboo terms in that they usually occur in a subject-verb-direct object construction (e.g., Austin shagged Vanessa). The more respectable terms lack a direct object and do not specify "a particular manner of motion or effect." Furthermore, they are semantically symmetrical, so that if Austin had sex with Vanessa, Vanessa also had sex with Austin. More fundamentally Pinker ties the cathartic effect of some swearing with "the Rage circuit, which [is]... connected with negative emotion." The Rage circuit, as part of the limbic system, is found in other animals and is associated with "a reflex in which a suddenly wounded or confined animal would erupt in a furious struggle to startle, injure and escape from a predator, often accompanied by a bloodcurdling yowl."
This is rich stuff, the drawing of a neat connection between a specific category of words and an emotional pattern linked to specific parts of the brain. This chapter also helps make sense of Tourette's syndrome and otherwise identifies swearing as "a coherent neurobiological phenomenon." Other chapters are similarly rewarding. Pinker's analysis of metaphors both expands on, and, to an extent, revises the classic works in this field by George Lakoff, Mark Johnson and others.
I have some quibbles with parts of Pinker's overall model, but this is to be expected with a work so ambitious and wide-ranging. I am surprised, for example, that Pinker doesn't mention the extensive work on cognitive prototypes by such authors as Brent Berlin and Eleanor Rosch since their research seems to overlap with his.
Another point: His arguments against connectionist models of language and thought I found to be not quite convincing. Here Pinker is arguing for a genetically-based set of neural patterns to explain the complexities of language, where connectionism points to a more flexible, post-natal learning system. Pinker demonstrates that connectionism is probably not adequate to explain language learning if one assumes (as he apparently does) that learning after puberty is just as permanent as that which is learned in childhood. But such an assumption is unwarranted, and if childhood learning does have a special durability, his criticism of connectionism loses its punch.
Also, in discussing social change (part of his analysis of changing tastes in the naming of children), he cites data indicating that most disappearances such as the end of hat-wearing among men in the 1960s, were the natural outcome of a long and steadily declining trajectory for this fashion. However, there are so many distinctly abrupt social changes that can be identified in this era (including such linguistic ones as the disappearance of the basic slang term "swell" and its replacement by "cool") that this argument for gradual social change leaves me skeptical.
Naturally these are the kinds of disputable points that a book like this is bound to stir up, and that's, of course, all to the good. All in all, Pinker has succeeded, once again, in writing a book which, while effectively tackling a very knotty set of issues, manages to be both accessible and engaging. Five stars.The Stuff of Thought: Language as a Window into Human Nature Overview

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Bastard Tongues: A Trailblazing Linguist Finds Clues to Our Common Humanity in the World's Lowliest Languages Review

Bastard Tongues: A Trailblazing Linguist Finds Clues to Our Common Humanity in the World's Lowliest Languages
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Bastard Tongues: A Trailblazing Linguist Finds Clues to Our Common Humanity in the World's Lowliest Languages ReviewBickerton has a witty, breezy style that combines the best of academic thought and language with his travels, observations, theories, and beers with the locals. The linguistic terms were not too difficult for a layperson, and I'm reading some of his recommended references with as much pleasure as I read his work. I hope to read more of Bickerton's writing.Bastard Tongues: A Trailblazing Linguist Finds Clues to Our Common Humanity in the World's Lowliest Languages OverviewBastard Tongues is an exciting, firsthand story of scientific discovery in an area of research close to the heart of what it means to be human—what language is, how it works, and how it passes from generation to generation, even where historical accidents have made normal transmission almost impossible. The story focuses on languages so low in the pecking order that many people don't regard them as languages at all—Creole languages spoken by descendants of slaves and indentured laborers in plantation colonies all over the world.

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Foundations of Statistical Natural Language Processing Review

Foundations of Statistical Natural Language Processing
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Foundations of Statistical Natural Language Processing ReviewThis is the best book I've ever read on computational linguistics. It should be ideal for both linguists who want to learn about statistical language processing and those building language applications who want to learn about linguistics. This book isn't even published and it's now my most highly used reference book, joining gems such as Cormen, Leiserson and Rivest's algorithm book, Quirk et al.'s English Grammar, and Andrew Gelman's Bayesian statistics book (three excellent companions to this book, by the way).
The book is written more like a computer science or math book in that it starts absolutely from scratch, but moves quickly and assumes a sophisticated reader. The first one hundred or so pages provide background in probability, information theory and linguistics.
This book covers (almost) every current trend in NLP from a statistical perspective: syntactic tagging, sense disambiguation, parsing, information retrieval, lexical subcategorization, Hidden Markov Models, and probabilistic context-free grammars. It also covers machine translation and information retrieval in later chapters.
It covers all the statistical techniques used in NLP from Bayes' law through to maximum entropy modeling, clustering: nearest neighbors and decision trees, and much more.
What you won't find is information on applications to higher-level discourse and dialogue phenomena like pronoun resolution or speech act classification.Foundations of Statistical Natural Language Processing OverviewStatistical approaches to processing natural language text have becomedominant in recent years. This foundational text is the first comprehensiveintroduction to statistical natural language processing (NLP) to appear. The bookcontains all the theory and algorithms needed for building NLP tools. It providesbroad but rigorous coverage of mathematical and linguistic foundations, as well asdetailed discussion of statistical methods, allowing students and researchers toconstruct their own implementations. The book covers collocation finding, word sensedisambiguation, probabilistic parsing, information retrieval, and otherapplications.

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