Search results
Results from the WOW.Com Content Network
When analyzing the structure of language statistically, a useful place to start is with high frequency context words, or so-called Key Word in Context (KWICs). After millions of samples of spoken and written language have been stored in a database, these KWICs can be sorted and analyzed for their co-text, or words which commonly co-occur with them.
Word frequency is known to have various effects (Brysbaert et al. 2011; Rudell 1993). Memorization is positively affected by higher word frequency, likely because the learner is subject to more exposures (Laufer 1997). Lexical access is positively influenced by high word frequency, a phenomenon called word frequency effect (Segui et al.).
A word is considered to be high frequency if the word is commonly used in daily speech, such as the word "the". A word is considered to be low frequency if the word is not commonly used, such as the word "strait". [4] Some languages such as Chinese have multiple levels of daily speech that impact frequency of words.
Frequency analysis, the study of the frequency of letters or groups of letters; Letter frequencies; Oxford English Corpus; Swadesh list, a compilation of basic concepts for the purpose of historical-comparative linguistics; Zipf's law, a theory stating that the frequency of any word is inversely proportional to its rank in a frequency table
Thus, high-frequency words deserve to be taught explicitly (Kennedy, 2003) and sometimes even low-frequency words can be taught and learned deliberately, for example through word cards, word part analysis, and dictionary as recommended by Nation (2006b). However, when measuring the difficulty by the results, deliberate vocabulary learning is ...
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file
Key Word In Context (KWIC) is the most common format for concordance lines. The term KWIC was coined by Hans Peter Luhn . [ 1 ] The system was based on a concept called keyword in titles , which was first proposed for Manchester libraries in 1864 by Andrea Crestadoro .
The underlying assumption that "a word is characterized by the company it keeps" was advocated by J.R. Firth. [2] This assumption is known in linguistics as the distributional hypothesis . [ 3 ] Emile Delavenay defined statistical semantics as the "statistical study of the meanings of words and their frequency and order of recurrence". [ 4 ] "