But of Whale - Bones for Whales of a monstrous size are oftentimes cast up dead u > In connexion with the monstrous pictures of whales, I am strongly ere to enter upon those still more monstrous stories of them which are to be fo ght have been rummaged out of this monstrous cabinet there is no telling. '" CHAPTER 55 Of the monstrous Pictures of Whales. Some were thick d as you gazed, and wondered what monstrous cannibal and savage could ever hav that has survived the flood most monstrous and most mountainous ! That Himmal they might scout at Moby Dick as a monstrous fable, or still worse and more de th of Radney. " Touching that monstrous bulk of the whale or ork we have r ll over with a heathenish array of monstrous clubs and spears. Take care to get spelling and punctuation right, andĭisplaying 11 of 11 matches: ong the former, one was of a most monstrous size. Here's theĬommand again, together with the output that The text of several books (this will take a few seconds). After printing a welcome message, it loads Python prompt which tells the interpreter to load some texts for us toĪll items." The book module contains all the data you will needĪs you read this chapter. The first step is to type a special command at the
Once the data is downloaded to your machine, you can load some of it Nearly ten times this size (at the time of writing) and continues to expand.
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The full collection of data (i.e., all in the downloader) is Of about 30 compressed files requiring about 100Mb disk space. Shows how the packages are grouped into sets, and you should select the line labeledĭata required for the examples and exercises in this book. More questions than it answers, questions that are addressed inįigure 1.1: Downloading the NLTK Book Collection: browse the available packages If the material is completely new to you, this chapter will raise You can easily consult the online reference material at. We will repeat any important points in later chapters, and if you miss anything If you have basic familiarity with both areas, you can skip to We hope this style of introduction gives you anĪuthentic taste of what will come later, while covering a range ofĮlementary concepts in linguistics and computer science. We'll flag the two styles in the section titles,īut later chapters will mix both styles without being so up-front about it. Will systematically review key programming concepts. In the "closer look at Python" sections we Take on some linguistically motivated programming tasks without necessarilyĮxplaining how they work. In the "computing with language" sections we will This chapter is divided into sections that skip between two quiteĭifferent styles.
What are some of the interesting challenges of natural language processing?.What tools and techniques does the Python programming language provide for such work?.How can we automatically extract key words and phrases that sum up the style and content of a text?.What can we achieve by combining simple programming techniques with large quantities of text?.In this chapter we'll address the following questions:
What can we do with it, assuming we can write some simple programs? It is easy to get our hands on millions of words of text.
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