PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (597 utterances, 2,143 words searched).

  1. what're you doing ? MOT · eng_british_Manchester_I/anne09b.cha, line 705 · Anne 2;00
  2. what're you doing ? MOT · eng_british_Manchester_I/anne09b.cha, line 717 · Anne 2;00
  3. what're you doing with my baby ? MOT · eng_british_Manchester_I/anne09b.cha, line 719 · Anne 2;00
  4. what're you doing with my baby ? MOT · eng_british_Manchester_I/anne09b.cha, line 728 · Anne 2;00
  5. somebody's been doing it I think . MOT · eng_british_Manchester_I/anne09b.cha, line 900 · Anne 2;00
  6. I think Rachel's been doing it in her spare time . INV · eng_british_Manchester_I/anne09b.cha, line 908 · Anne 2;00
  7. what are you doing ? MOT · eng_british_Manchester_I/anne09b.cha, line 1490 · Anne 2;00
  8. what're you doing ? MOT · eng_british_Manchester_I/anne09b.cha, line 1911 · Anne 2;00
  1. MOTaah .
    MOToh .
    MOT*MOT: what're you doing ?
    CHIoh .
    MOTwhat +/.
  2. MOTpardon ?
    CHIxxx .
    MOT*MOT: what're you doing ?
    MOTwhat're you doing with my baby ?
    MOTI want my baby .
  3. CHIxxx .
    MOTwhat're you doing ?
    MOT*MOT: what're you doing with my baby ?
    MOTI want my baby .
    MOTaah .
  4. MOTaah .
    MOToh .
    MOT*MOT: what're you doing with my baby ?
    MOTwhere [/] where do monkeys keep their babys ?
    MOTon their back .
  5. MOThere she is .
    MOTher hair looks neater today .
    MOT*MOT: somebody's been doing it I think .
    MOTCaroline does it in her spare time or something .
    INVI did once .
  6. MOTCaroline does it in her spare time or something .
    INVI did once .
    INV*INV: I think Rachel's been doing it in her spare time .
    MOTyes .
    MOTI think so .
  7. MOTwasn't it ?
    MOTah ah ah .
    MOT*MOT: what are you doing ?
    MOTwe don't sit on that table ,, do we ?
    MOTcome on .
  8. MOTthank you .
    MOTwhat's happening now ?
    MOT*MOT: what're you doing ?
    CHIthis .
    MOTwhoopsie .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Anne eng_british_Manchester_I3.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne09b.chaAnne 2;0.292,143883.73

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. doing8 · 100.0%