the above transcription of k is a detailed (narrow) transcription according to the rules of the International Phonetic Association; you can find a description of each symbol by clicking the phoneme buttons in the secction below.
k is pronounced in one syllable
press buttons with phonetic symbols to learn how to precisely pronounce each sound of k
press the "test" button to check how closely you can replicate the pitch of a native speaker in your pronunciation of k
video examples of k pronunciation
An example use of k in a speech by a native speaker of american english:
“… would say at least in k-12 is we just …”
meanings of k
noun:
Abbreviation of knit.
Abbreviation of strikeout.
Short for OK.
Abbreviation of contract.
Thousand or thousands.
Abbreviation of Knighthood.
Abbreviation of kindergarten.
Abbreviation of king.
Kilometre or kilometres.
Abbreviation of carrying capacity.
Abbreviation of ketamine (a drug).
A kilobit (more formally kb), especially in measuring Internet connection.
Abbreviation of black.
Abbreviation of Köchel number.
Abbreviation of go ahead, over, an indication that a message is complete and a reply is awaited.
A kilobyte (more formally KB or kB).
Abbreviation of capital.
The SI measurement value of 1,000.
A single character message used as an acknowledgement, meaning "previous message received and understood.".
Abbreviation of kilo-, 1,024.
character:
The first letter of callsigns allocated to American broadcast television and radio stations west of the Mississippi river.
The eleventh letter of the English alphabet, called kay and written in the Latin script.
numeral:
The ordinal number eleventh, derived from this letter of the English alphabet, called kay and written in the Latin script.
interjection:
OK.
k frequency in english - B1 level of CEFR
the word k occurs in english on average 55.8 times per one million words; this frequency warrants it to be in the study list for B1 level of language mastery according to CEFR, the Common European Framework of Reference.
topics k can be related to
it is hard to perfectly classify words into specific topics since each word can have many context of its use, but our machine-learning models believe that k can be often used in the following areas: