how to pronounce parallelism

/ˈpɛɹəˌlɛˌlɪzəm/

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the above transcription of parallelism 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.

parallelism is pronounced in five syllables

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5. example pitch curve for pronunciation of parallelism

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video examples of parallelism pronunciation

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

“… computational parallelism if you just …”

meanings of parallelism

noun:

The doctrine that matter and mind do not causally interact but that physiological events in the brain or body nonetheless occur simultaneously with matching events in the mind.
Similarity of features between two species resulting from their having taken similar evolutionary paths following their initial divergence from a common ancestor.
The juxtaposition of two or more identical or equivalent syntactic constructions, especially those expressing the same sentiment with slight modifications, introduced for rhetorical effect.
The state or condition of being parallel; agreement in direction, tendency, or character.
The use of parallel methods in hardware or software, so that several tasks can be performed at the same time.
The state of being in agreement or similarity; resemblance, correspondence, analogy.
A parallel position; the relation of parallels.
In antitrust law, the practice of competitors of raising prices by roughly the same amount at roughly the same time, without engaging in a formal agreement to do so.

parallelism frequency in english - C2+ level of CEFR

the word parallelism occurs in english on average 0.4 times per one million words; this frequency warrants it to be in the study list for C2+ level of language mastery according to CEFR, the Common European Framework of Reference.

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

1) communication, information, and media;

2) education, science, and technology;