PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 1,772 words searched).

  1. hmm ? MOT · eng_USA_Brown/sarah086.cha, line 548 · Sarah 3;11
  2. hmm ? MOT · eng_USA_Brown/sarah086.cha, line 608 · Sarah 3;11
  3. hmm ? MOT · eng_USA_Brown/sarah086.cha, line 735 · Sarah 3;11
  4. hmm ? MOT · eng_USA_Brown/sarah086.cha, line 866 · Sarah 3;11
  5. hmm ? MOT · eng_USA_Brown/sarah086.cha, line 974 · Sarah 3;11
  6. hmm ? MOT · eng_USA_Brown/sarah086.cha, line 1037 · Sarah 3;11
  7. hmm ? MOT · eng_USA_Brown/sarah086.cha, line 1248 · Sarah 3;11
  1. eng_USA_Brown/sarah086.cha, line 548 · Sarah, 3;11.29
    MOTcome on # start talkin(g) # xxx .
    CHII'm gonna finish &m # my +...
    MOT*MOT: hmm ?
    MOTuh # hey either put it in your mouth now or I'm going to take it away .
    MOTall you're doin(g) is foolin(g) .
  2. eng_USA_Brown/sarah086.cha, line 608 · Sarah, 3;11.29
    MOTdon't you ?
    MOTdo you want more milk # Robin ?
    MOT*MOT: hmm ?
    MOThuh ?
    CHI0 [=! makes noises] .
  3. eng_USA_Brown/sarah086.cha, line 735 · Sarah, 3;11.29
    MOTwell you're gonna pick it up too .
    CHII like to do it .
    MOT*MOT: hmm ?
    CHII like to do it .
    MOTyou're goin(g) pick the mess up .
  4. eng_USA_Brown/sarah086.cha, line 866 · Sarah, 3;11.29
    MOTdid you tell Millicent your birthday's comin(g) ?
    CHIum .
    MOT*MOT: hmm ?
    MELwhen's your birthday # Sarah ?
    MELis it pretty soon ?
  5. eng_USA_Brown/sarah086.cha, line 974 · Sarah, 3;11.29
    MOTjust right .
    CHIare ya hot ?
    MOT*MOT: hmm ?
    CHIare ya hot ?
    MOTnope .
  6. eng_USA_Brown/sarah086.cha, line 1037 · Sarah, 3;11.29
    CHI0 .
    MOTyou feel better now that you've had your cry for the day ?
    MOT*MOT: hmm ?
    MOTwho's that downstairs ?
    JOAxxx .
  7. eng_USA_Brown/sarah086.cha, line 1248 · Sarah, 3;11.29
    MOTwhat are you like ?
    CHIoh # no .
    MOT*MOT: hmm ?
    JOAno white .
    CHIno # one .

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. Sarah eng_USA_Brown3.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah086.chaSarah 3;11.291,772773.95

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. hmm7 · 100.0%