PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,805 words searched).

  1. hmm ? MOT · eng_USA_Brown/sarah085.cha, line 237 · Sarah 3;11
  2. hmm ? MEL · eng_USA_Brown/sarah085.cha, line 408 · Sarah 3;11
  3. hmm ? MOT · eng_USA_Brown/sarah085.cha, line 505 · Sarah 3;11
  4. hmm ? MOT · eng_USA_Brown/sarah085.cha, line 593 · Sarah 3;11
  5. hmm ? MEL · eng_USA_Brown/sarah085.cha, line 950 · Sarah 3;11
  6. hmm . MOT · eng_USA_Brown/sarah085.cha, line 1171 · Sarah 3;11
  1. eng_USA_Brown/sarah085.cha, line 237 · Sarah, 3;11.16
    MOTMelissa isn't goin(g) to eat it .
    CHIxxx .
    MOT*MOT: hmm ?
    MOTmonkey .
    MOTthe only monkey around here is you .
  2. eng_USA_Brown/sarah085.cha, line 408 · Sarah, 3;11.16
    CHIsleep in my bed .
    MOTher cousin's little girl .
    MEL*MEL: hmm ?
    MOTher cousin's little girl .
    MELSarah's age ?
  3. eng_USA_Brown/sarah085.cha, line 505 · Sarah, 3;11.16
    MOT(re)member he was here Christmas .
    MOTand he came from far far away .
    MOT*MOT: hmm ?
    MOThe's comin(g) today .
    MOThe's goin(g) in an airplane all the way from France (a)n(d) he's comin(g) home .
  4. eng_USA_Brown/sarah085.cha, line 593 · Sarah, 3;11.16
    MOT(be)cause he's comin(g) on a big # big # big plane .
    CHIhow'd he get on the plane ?
    MOT*MOT: hmm ?
    CHIhow he get on the plane ?
    MOThe got on the plane in France ?
  5. eng_USA_Brown/sarah085.cha, line 950 · Sarah, 3;11.16
    CHIthis # (i)s [?] # this high .
    MELxxx .
    MEL*MEL: hmm ?
    MELdid you break his pipe ?
    CHIuhhuh .
  6. eng_USA_Brown/sarah085.cha, line 1171 · Sarah, 3;11.16
    CHIwhat ?
    CHIpowder+puff ?
    MOT*MOT: hmm .
    CHIhey # &y you get my monkey # you want some ?
    MOTmmhm .

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_Brown3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah085.chaSarah 3;11.161,805663.32

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. hmm6 · 100.0%