By Pierre M. Nugues
This ebook teaches the foundations of traditional language processing and covers linguistics concerns. It additionally information the language-processing services concerned, together with part-of-speech tagging utilizing principles and stochastic concepts. A key characteristic of the ebook is the author's hands-on strategy all through, with huge workouts, pattern code in Prolog and Perl, and an in depth advent to Prolog. The publication is acceptable for researchers and scholars of average language processing and computational linguistics.
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Additional resources for An introduction to language processing with Perl and Prolog : an outline of theories, implementation, and application with special consideration of English, French, and German
Example text
A variety of statistical tests can measure the strength of pairs, and we can extract them automatically from a corpus. 4. Word preferences of strong and powerful collected from the Associated Press corpus. Numbers in columns indicate the number of collocation occurrences with word w. After Church and Mercer (1993). Preference for strong over powerful Preference for powerful over strong strong w powerful w w strong w powerful w w 161 0 showing 1 32 than 2 support 1 32 figure 175 0 defense 3 31 minority 106 ...
Although their notation is different, regular expressions can always be implemented under the form of automata, and vice versa. However, regular expressions are generally easier to use. Regular expressions are composed of literal characters, that is, ordinary text characters like abc, and of metacharacters like * that have a special meaning. The simplest form of regular expressions is a sequence of literal characters: letters, numbers, spaces, or punctuation signs. Regexes regular or Prolog match strings regular or Prolog contained in a text.
1 Types of Corpora Some corpora focus on specific genres, law, science, novels, news broadcasts, transcriptions of telephone calls, or conversations. Others try to gather a wider variety of running texts. Texts collected from a unique source, say from scientific magazines, will probably be slanted toward some specific words that do not appear in everyday life. 1 compares the most frequent words in the book of Genesis and in a collection of contemporary running texts. It gives an example of such a discrepancy.