How to pronounce "can you" in English — Connected Speech Guide (IPA /ˈkæɲu/)

CEFR A2 Assimilation

can you

/ˈkæɲu/

RP: /ˈkæɲu/

Meaning: can you

What happens in this phrase

n+y→/ɲ/ palatalised

Example sentences

Common mistakes by native language

Japanese speakers

Mistake: Pronouncing it as "KYAN YU" with a full [ju:] vowel and clear syllable break.

Why: Katakana English preserves each word and full vowel qualities.

Fix: The n of "can" links directly to the y of "you", and "you" reduces to schwa (or [jə]): [kənˈjə] or [ˈkænˈjə] with emphasis. In fast speech: [ˈkænjə].

Korean speakers

Mistake: Producing full [æ] for "can" and clear [ju:] for "you".

Why: Korean prosody favors clear articulation.

Fix: "Can" reduces to [kən] in unstressed positions (which is the default in questions). "You" reduces to [jə]: [kənˈjə]. Full [kæn ju:] sounds oddly emphatic.

Spanish speakers

Mistake: Producing Spanish [j] with friction, blocking natural linking.

Why: Spanish [j] is a strong onset.

Fix: English [j] is light and glides smoothly from the preceding [n]: [kənˈjə]. Note: "can" is a common example of vowel reduction — [ə] instead of [æ] in unstressed positions.

Similar phrase patterns

Practice sentences

Notes

"Can you" is one of the most common English question openers, used for polite requests, ability questions, and reactions. Phonologically it's interesting for what it does NOT do: unlike "did you" (didja) or "would you" (wouldja), "can you" does not undergo consonant coalescence. The n + y stays as [n + j], because the alveolar [n] does not fuse with palatal [j] the way alveolar stops (d, t) do. So "can you" is [kənˈjə] with two clean consonants, not "canja" or anything similar. Vowel reduction is prominent: "can" reduces from stressed [kæn] to unstressed [kən] (with schwa), and "you" reduces to [jə]. The full [kæn ju:] pronunciation is reserved for emphatic or contrastive uses ("CAN you? Or can't you?"). Understanding this asymmetry — some function words fuse, others just reduce — is a key insight for parsing fast English.