how to pronounce now

/ˈnaʊ/

audio example by a male speaker

audio example by a female speaker

the above transcription of now 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.

now is pronounced in one syllable

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1. example pitch curve for pronunciation of now

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video examples of now pronunciation

An example use of now in a speech by a native speaker of american english:

“… so yeah get over it now I want to talk …”

meanings of now

adverb:

Differently from the immediate past; differently from a more remote past or a possible future; differently from all other times.
In the context of urgency.
At the present time.
At the time reached within a narration.
Differently from the situation before a stated event or change of circumstance.
Used to introduce a point, a qualification of what has previously been said, a remonstration or a rebuke.
As 'but now': Very recently; not long ago; up to the present.

adjective:

Present; current.
Fashionable; popular; up to date; current.
At the time the will is written. Used in order to prevent any inheritance from being transferred to a person of a future marriage. Does not indicate the existence of a previous marriage.

noun:

The state of not paying attention to the future or the past.
A particular instant in time, as perceived at that instant.
The present time.

conjunction:

Since, because, in light of the fact; often with that.

interjection:

Indicates a signal to begin.

verb:

Misspelling of know.

name:

Acronym of National Organization for Women.

now frequency in english - A1 level of CEFR

the word now occurs in english on average 1578.2 times per one million words; this frequency warrants it to be in the study list for A1 level of language mastery according to CEFR, the Common European Framework of Reference.

topics now 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 now can be often used in the following areas:

1) communication, information, and media;

2) people, society, and culture;