PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,572 words searched).

  1. that looks like a fish +... GLO · eng_USA_Brown/sarah056.cha, line 142 · Sarah 3;04
  2. does that look like a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 164 · Sarah 3;04
  3. does this look like a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 166 · Sarah 3;04
  4. what does it look like that way ? MOT · eng_USA_Brown/sarah056.cha, line 643 · Sarah 3;04
  5. sounds like a cricket . GLO · eng_USA_Brown/sarah056.cha, line 1279 · Sarah 3;04
  6. on a cold day like today ? MOT · eng_USA_Brown/sarah056.cha, line 1386 · Sarah 3;04
  1. eng_USA_Brown/sarah056.cha, line 142 · Sarah, 3;4.01
    GLO<what are you> [//] let's see .
    GLOwhat are you doing ?
    GLO*GLO: that looks like a fish +...
    GLObig tail .
    GLOthere # you made a fish .
  2. eng_USA_Brown/sarah056.cha, line 164 · Sarah, 3;4.01
    MOTlet's make a nitch@t .
    MOTthere's that .
    MOT*MOT: does that look like a nitch@t ?
    MOTdoes this look like a nitch@t ?
    CHIno .
  3. eng_USA_Brown/sarah056.cha, line 166 · Sarah, 3;4.01
    MOTthere's that .
    MOTdoes that look like a nitch@t ?
    MOT*MOT: does this look like a nitch@t ?
    CHIno .
    CHIthat's a tree .
  4. eng_USA_Brown/sarah056.cha, line 643 · Sarah, 3;4.01
    CHIthis way .
    MOTok .
    MOT*MOT: what does it look like that way ?
    CHIa e@l .
    MOTshe knows which way they go .
  5. eng_USA_Brown/sarah056.cha, line 1279 · Sarah, 3;4.01
    GLOyes .
    GLOoh # you can make a nice noise .
    GLO*GLO: sounds like a cricket .
    GLOvery good .
    CHIcan see do that ?
  6. eng_USA_Brown/sarah056.cha, line 1386 · Sarah, 3;4.01
    CHIcan I go ta beach tomorrow ?
    MOTyyy # can you go the beach ?
    MOT*MOT: on a cold day like today ?
    MOThmm ?
    MOTyou only go to the beach in the summer time .

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_Brown3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,572663.82

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.

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