English Learner Article Word Frequency Analysis as a Way to improve writing quality

Summary: A look at how using word frequency software can help improve your writing

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In the old times of Windows 1.0 back in the 1980’s, there was a tool called Word Frequency that came with the MS Word distribution package. As someone who uses English as a second language, I used it heavily, because it helped me to improve my vocabulary and to correct misspellings beyond the capacity of the available spelling checkers.

That MS Word add-on created a list of all the words in a document, ordered by frequency. It made it easy to detect overuse and/or abuse of a certain word or expression. The little used words were also of help, because sometimes I wrote Thomson instead of Thompson, car instead of cart, or similar errors that the spelling checker does not detect.

Frequency analysis can also be used as a means of establishing the "signature" of a certain author, the cultural level of the writer, the use of slang or technical jargon, and other writing features. It is possible to extrapolate the number of words used in a certain text to the total vocabulary of a person. Frequency analysis can accuse some writers of having the vocabulary of a 10-year-old, or the word-richness of a Chinese-born 2nd-year English student.

Frequency analysis combined with a synonym dictionary, as provided in the “synonymizer” software, can help writers to enrich their lexicon and avoid abuse of certain expressions.

It is also a way to avoid producing identical text for those who need to make their text different from a source, like a web content writer that needs to fill many similar but not identical pages, and students who want to avoid plagiarism detection and accusation, rightly or wrongly.

Plagiarism detection also makes use of frequency analysis, because comparison of a given text with the whole Web contents is a major task, and the detection system does not know where to look and where to start. Thus, analysing the word frequency can give some clue to the writing style and the authorship of a given text, without indexing the whole thing.

Search engines use word frequency to establish the subject of web pages. They developed complex linguistic analyses in order to classify pages by subject without human intervention. In turn, webmasters do the same, to try to fool search engines into assigning high keyword relevance to the pages they create. For instance, using a word with a 3% frequency gives a text good relevance for that word (or keyword, in a search engine context). A 10% frequency is still OK, but it is close to “keyword stuffing”, a technique used by webmasters who try to force their websites into the top places of the search engines. Keyword stuffing is penalized by the search engines, and needs to be prevented by smart use of synonyms, either with synonymizer software or good writing skills.

This article, for instance, has the following Word Frequency :

word: 9, frequency : 7, used : 6, not : 6, search: 6, text: 6, engines: 6, analysis: 5, can: 5, use: 5.

Total word count: 694

I could have edited the text after the analysis, to avoid intensive use of “word” and “frequency” for linguistic purposes. However, it is OK for Search Engine Optimization purposes (attempting to make this article more findable by Google and Yahoo). I will also want it indexed under "writing software", "writing tool" and "synonym replacer", but in order to cover these extra keywords I should write some more meaningful text. Next time...

Are there any serious writers that still avoid the use of a wired computer? Probably not many can avoid using the Web and the search engines to find the correct word, the most common expressions, to perform spelling or grammar checking. Checking word usage in Google is faster and more efficient than using a dictionary, on paper, disc or the Web. The search engines list every word ever written, not only the well-written words as dictionaries do.

Be prepared to have your texts analysed for word frequency, educational level, plagiarism, technicality, jargon usage and other parameters, in addition to old-fashioned spelling.

Because of these trends, the ultimate challenge for a job candidate would be to write an essay with paper and pen. Most of us are not prepared to pass such a test.

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About the author:

Sergio R. Samoilovich is the author of Synonymizer software, which is evolving into a more complex machine-aided writing tool. He once passed the TOEFL (Test of English as a Foreign Language), before the PC age.