Use Interpreter to find the location of the Eiffel Tower.

35.1

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Use Interpreter to find a university referred to as “U of T”.

35.2

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Use Interpreter to find the chemicals referred to as C2H4, C2H6 and C3H8.

35.3

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Use Interpreter to interpret the date “20140108”.

35.4

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Find universities that can be referred to as “U of X”, where x is any letter of the alphabet.

35.5

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Find which US state capital names can be interpreted as movie titles (use CommonName to get the string versions of entity names).

35.6

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Find cities that can be referred to by permutations of the letters a, i, l and m.

35.7

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Make a word cloud of country names in the Wikipedia article on “gunpowder”.

35.8

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Find all nouns in “She sells seashells by the sea shore.”

35.9

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Use TextCases to find the number of nouns, verbs and adjectives in the first 1000 characters of the Wikipedia article on computers.

35.10

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Find the grammatical structure of the first sentence of the Wikipedia article about computers.

35.11

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Find the 10 most common nouns in ExampleData[{"Text","AliceInWonderland"}].

35.12

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Make a community graph plot of the graph representation of the text structure of the first sentence of the Wikipedia article about language.

35.13

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Make a list of numbers of nouns, verbs, adjectives and adverbs found by WordList in English.

35.14

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Generate a list of the translations of numbers 2 through 10 into French.

35.15

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