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The Dust Bowl: 1930–1939. With no one else around for a hundred miles, Major's busted family lives in a one room dugout as Major tries to reconcile himself to the fact that his own kin has taken the money and run. Out of an enormous storm—200 miles wide, 15,000 feet high—come two desperate men promising a way out. Their visit is a welcome break in the grinding routine of storm and quiet that Wishful Hi, Saromybride and Uncle Pogord have endured under Major's iron, heartbroken hand. But did his brother really get out and away? Who are these people? Where'd that money come from? Will the machine work? Are there lights in the sky?
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THE STORY: Set just before the holidays, SEVEN IN ONE BLOW, OR THE BRAVE LITTLE KID tells the story of a child living in the city who kills seven flies with a single swat and makes a belt emblazoned with Seven in One Blow to commemorate the event
Machine Translation and the Information Soup! Over the past fty years, machine translation has grown from a tantalizing dream to a respectable and stable scienti c-linguistic enterprise, with users, c- mercial systems, university research, and government participation. But until very recently, MT has been performed as a relatively distinct operation, so- what isolated from other text processing. Today, this situation is changing rapidly. The explosive growth of the Web has brought multilingual text into the reach of nearly everyone with a computer. We live in a soup of information, an increasingly multilingual bouillabaisse. And to partake of this soup, we can use MT systems together with more and more tools and language processing technologies|information retrieval engines, - tomated text summarizers, and multimodal and multilingual displays. Though some of them may still be rather experimental, and though they may not quite t together well yet, it is clear that the future will o er text manipulation systems that contain all these functions, seamlessly interconnected in various ways.