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A corpus is a technical term for a collection of texts used to analyze a language and verify its linguistic properties. The first modern, computer- readable corpus was the Brown Corpus of Standard American English, compiled by Henry Kucera and W. Nelson Francis of Brown University. The Brown Corpus draws from American English texts printed in 1961 and was for many years a widely cited resource in computational linguistics. The five most frequently occurring words in the Brown Corpus are the, of, and, to, and a. Consider a data set consisting of all occurrences of these words in the Corpus. The values of the variable named Word are a, to, and, of, and the, so Word is a nominal variable with five categories. Frequency and relative frequency distributions are constructed to summarize the data. They are shown in the table that follows, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 Word Frequency Relative Frequency (Thousands of occurrences) a 23.1 0.1252 to 26.1 and 0.1566 of 36.4 0.1973 the 70.0 0.3794 Total 184.5 The Brown Corpus contains about 1 million words. The frequency of the word a in the entire corpus is about occurrences. The relative frequency of the word a in the entire corpus is about A census is an enumeration of a population. The U.S. Census Bureau conducts a census every 10 years, but in addition, the Population Estimates Program of the bureau publishes population estimates for incorporated places every year. According to 2007 estimates, the five largest U.S. cities (by population) are New York City, Los Angeles, Chicago, Houston, and Phoenix.

A corpus is a technical term for a collection of texts used to analyze a language and verify its linguistic properties. The first modern, computer- readable corpus was the Brown Corpus of Standard American English, compiled by Henry Kucera and W. Nelson Francis of Brown University. The Brown Corpus draws from American English texts printed in 1961 and was for many years a widely cited resource in computational linguistics. The five most frequently occurring words in the Brown Corpus are the, of, and, to, and a. Consider a data set consisting of all occurrences of these words in the Corpus. The values of the variable named Word are a, to, and, of, and the, so Word is a nominal variable with five categories. Frequency and relative frequency distributions are constructed to summarize the data. They are shown in the table that follows, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 Word Frequency Relative Frequency (Thousands of occurrences) a 23.1 0.1252 to 26.1 and 0.1566 of 36.4 0.1973 the 70.0 0.3794 Total 184.5 The Brown Corpus contains about 1 million words. The frequency of the word a in the entire corpus is about occurrences. The relative frequency of the word a in the entire corpus is about A census is an enumeration of a population. The U.S. Census Bureau conducts a census every 10 years, but in addition, the Population Estimates Program of the bureau publishes population estimates for incorporated places every year. According to 2007 estimates, the five largest U.S. cities (by population) are New York City, Los Angeles, Chicago, Houston, and Phoenix.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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A corpus is a technical term for a collection of texts used to analyze a language and verify its linguistic properties. The first modern, computer- readable corpus was the Brown Corpus of Standard American English, compiled by Henry Kucera and W. Nelson Francis of Brown University. The Brown Corpus draws from American English texts printed in 1961 and was for many years a widely cited resource in computational linguistics. The five most frequently occurring words in the Brown Corpus are the, of, and, to, and a. Consider a data set consisting of all occurrences of these words in the Corpus. The values of the variable named Word are a, to, and, of, and the, so Word is a nominal variable with five categories. Frequency and relative frequency distributions are constructed to summarize the data. They are shown in the table that follows, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 Word Frequency Relative Frequency (Thousands of occurrences) a 23.1 0.1252 to 26.1 and 0.1566 of 36.4 0.1973 the 70.0 0.3794 Total 184.5 The Brown Corpus contains about 1 million words. The frequency of the word a in the entire corpus is about occurrences. The relative frequency of the word a in the entire corpus is about A census is an enumeration of a population. The U.S. Census Bureau conducts census every 10 years, but in addition, the Population Estimates Program of the bureau publishes population estimates for incorporated places every year. According to 2007 estimates, the five largest U.S. cities (by population) are New York City, Los Angeles, Chicago, Houston, and Phoenix.
Transcribed Image Text:A corpus is a technical term for a collection of texts used to analyze a language and verify its linguistic properties. The first modern, computer- readable corpus was the Brown Corpus of Standard American English, compiled by Henry Kucera and W. Nelson Francis of Brown University. The Brown Corpus draws from American English texts printed in 1961 and was for many years a widely cited resource in computational linguistics. The five most frequently occurring words in the Brown Corpus are the, of, and, to, and a. Consider a data set consisting of all occurrences of these words in the Corpus. The values of the variable named Word are a, to, and, of, and the, so Word is a nominal variable with five categories. Frequency and relative frequency distributions are constructed to summarize the data. They are shown in the table that follows, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 Word Frequency Relative Frequency (Thousands of occurrences) a 23.1 0.1252 to 26.1 and 0.1566 of 36.4 0.1973 the 70.0 0.3794 Total 184.5 The Brown Corpus contains about 1 million words. The frequency of the word a in the entire corpus is about occurrences. The relative frequency of the word a in the entire corpus is about A census is an enumeration of a population. The U.S. Census Bureau conducts census every 10 years, but in addition, the Population Estimates Program of the bureau publishes population estimates for incorporated places every year. According to 2007 estimates, the five largest U.S. cities (by population) are New York City, Los Angeles, Chicago, Houston, and Phoenix.
*yur . y yur yu y u yuuny r pru below, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 Frequency City (Millions of people) Relative Frequency Phoenix 1.55 0.0829 Chicago 2.84 Houston 0.1182 Los Angeles 3.83 0.2048 New York City 8.27 0.4422 Total 18.70 The U.S. population is about 300 million. The frequency of Phoenix residents in the U.S. population is about v people. The relative frequency of Phoenix residents in the U.S. population is about In 1935, Harvard linguist George Zipf pointed out that the frequency of the kth most frequent word in a language is roughly proportional to 1/k. This implies that the second most frequent word in a language has a frequency one-half that of the most frequent word, the third most frequent word has a frequency one-third that of the most frequent word, and so on. A distribution that follows this rule is said to obey Zipf's Law. Zipf's Law has been observed not only in word distributions, but in other phenomena as well, such as the populations of cities. The frequency of the third most frequent word in the Brown Corpus is v that of the most frequent word. The population of the third largest city in the United States is v that of the largest city. The frequency of the fifth most frequent word in the Brown Corpus is v that of the most frequent word. The population of the fifth largest city in the United States is v that of the largest city.
Transcribed Image Text:*yur . y yur yu y u yuuny r pru below, but the table is incomplete. Use the dropdown menus to complete the table. Table 1 Frequency City (Millions of people) Relative Frequency Phoenix 1.55 0.0829 Chicago 2.84 Houston 0.1182 Los Angeles 3.83 0.2048 New York City 8.27 0.4422 Total 18.70 The U.S. population is about 300 million. The frequency of Phoenix residents in the U.S. population is about v people. The relative frequency of Phoenix residents in the U.S. population is about In 1935, Harvard linguist George Zipf pointed out that the frequency of the kth most frequent word in a language is roughly proportional to 1/k. This implies that the second most frequent word in a language has a frequency one-half that of the most frequent word, the third most frequent word has a frequency one-third that of the most frequent word, and so on. A distribution that follows this rule is said to obey Zipf's Law. Zipf's Law has been observed not only in word distributions, but in other phenomena as well, such as the populations of cities. The frequency of the third most frequent word in the Brown Corpus is v that of the most frequent word. The population of the third largest city in the United States is v that of the largest city. The frequency of the fifth most frequent word in the Brown Corpus is v that of the most frequent word. The population of the fifth largest city in the United States is v that of the largest city.
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