Since the puzzle will be constructed with upper-case ASCII characters and printed in a very small font size, it would be difficult to see the difference between numeral “1” and upper case “I”, or between numeral “0” and upper case “O”. We could have constructed a word search puzzle that included numerals, but there’s a problem with that. Poblado C-21 Licenciado Benito Juárez García Numerals appeared in 362 of the lines, for example: Zürich (Kreis 7) / Fluntern We ran a filter to move the text between pairs of quotes onto lines of their own without changing any lines containing a single double quote embedded inside a word: sed ’s/\(^.*\)"\(.*\)"/\1\n\2/’ We ran the following filter to separate the parts after the slash onto lines of their own: sed ’s/\//\n/g’Ī few lines in the database contained quotation marks which seemed to show alternative names, for example: Poselok Turisticheskogo pansionata "Klyazminskoe vodohranilische" There were 372 lines containing a forward slash that separated two variations of a name, for example: Zürich (Kreis 11) / Affoltern In the example above, “Fraccionamiento” means “division.” There were only 56 bracketed instances, and instead of examining each one, we simply deleted all bracketed text with the filter: sed ’s/\//g’ Some of the bracketed text seemed to be alternative names, but most of them seemed to be explanatory text. The last example became: Vicente GuerreroĪ few lines contained text in square brackets, for example: Ninguno This separated the parenthetical part into lines of their own. The parts in parentheses seemed to be alternative names, so we used the following filter: sed ’s/(/\n/’ Over one thousand lines contained a parenthetical part, for example: Vicente Guerrero (San Javier) We used the filter: sed -e ’s/ -/\n/g s/\- /\n/g’įor example, that filter caused the line containing “Castelbello-Ciardes – Kastelbell-Tschars” to become two lines: Castelbello-Ciardes Out of 165,126 lines, 8,758 of them contained one or more hyphens, for example: al-KumĪfter sampling these cases, we seemed to identify a consistent pattern: hyphens with no space before or after were part of a hyphenated name, and a hyphen with a space before or it separated two different names. To extract the second field from each line in the database, we used the Linux filter: cut -f2
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We did all the processing on a Linux system where the necessary text processing commands are easily available. One of the fields is the city or place name in ASCII, but we extracted the field containing the name in the original character set so that we could manage our own conversion to ASCII. One of their geographical databases, “cities500.txt,” is a list of the names of cities and places around the world with a population of 500 or greater, licensed under Creative Commons Attribution 4.0 License.Įach line in their database contains several fields separated by tabs. Our list of place names starts with a database of names provided by GeoNames. Obtaining and preprocessing the list of names Or, if you really want a giant word search poster with 26,786 words to hang on your wall, take a look at our Vocabulary of William Shakespeare poster.
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The resulting Place Names Word Search poster is not offered for sale, but you can download the file. Finally we describe how we converted the computed 948 x 948 character array into graphic files and printouts. We describe our algorithm and C++ program that generated the puzzle. In this article, we describe how we obtained the names and converted them into the ASCII character set. Once we were done, we began the long process to apply for an official Guinness world record. We constructed what we hoped could be verified to be the world’s largest word search puzzle, containing the names of 163,563 cities and other places around the world. Lately we’ve been making word search puzzles, and once we got started, we decided to see just how big we could go.