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Word count is commonly used by translators to determine the price of a translation job. Word counts may also be used to calculate measures of readability and to measure typing and reading speeds (usually in words per minute). When converting character counts to words, a measure of 5 or 6 characters to a word is generally used for English. [1]
In this system, reading text is classified according to various parameters, such as word count, number of different words, number of high-frequency words, sentence length, sentence complexity, word repetitions, illustration support, etc. While classification is guided by these parameters, syllable type, an important consideration in beginning ...
The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity .
The KWL chart or table was developed within this methodology and is a form of instructional reading strategy that is used to guide students taking them through the idea and the text. [1] A KWL table is typically divided into three columns titled Know, Want and Learned. The table comes in various forms as some have modified it to include or ...
Prepositional phrases are also placed beneath the word they modify; the preposition goes on a slanted line and the slanted line leads to a horizontal line on which the object of the preposition is placed. These basic diagramming conventions are augmented for other types of sentence structures, e.g. for coordination and subordinate clauses.
Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...
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The jump seen in the number of articles in October 2002 (and the consequential aberration of the revision statistics) was due to the addition of 36,000 "data dumped" Gazetteer entries about towns and cities in the United States; clearly these were longer than the prevailing mean article length. The volatility of the words per article count in ...