how to pronounce machine

/məˈʃiːn/

audio example by a male speaker

audio example by a female speaker

the above transcription of machine 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.

machine is pronounced in two syllables

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1.

2.

iː

example pitch curve for pronunciation of machine

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video examples of machine pronunciation

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

“… that's produced by a machine now that's …”

meanings of machine

noun:

A vehicle operated mechanically, such as an automobile or an airplane.
A device that directs and controls energy, often in the form of movement or electricity, to produce a certain effect.
Especially, the group that controls a political or similar organization; a combination of persons acting together for a common purpose, with the agencies which they use.
Supernatural agency in a poem, or a superhuman being introduced to perform some exploit.
A bathing machine.
A person or organisation that seemingly acts like a machine, being particularly efficient, single-minded, or unemotional.
The system of special interest groups that supports a political party, especially in urban areas.
A contrivance in the Ancient Greek theatre for indicating a change of scene, by means of which a god might cross the stage or deliver a divine message; the deus ex machina.
Penis.
A computer.
An answering machine or, by extension, voice mail.

verb:

To shape or finish by machinery.
To make by machinery.

machine frequency in english - B1 level of CEFR

the word machine occurs in english on average 69.2 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 machine 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 machine can be often used in the following areas:

1) business and work;

2) transport and travel;