PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 2,317 words searched).

  1. d(o) you have a razor blade # Adam ? MOT · eng_USA_Brown/adam38.cha, line 1730 · Adam 3;09
  2. razor blades . MOT · eng_USA_Brown/adam38.cha, line 1762 · Adam 3;09
  3. I think you are sitting on the razor . MOT · eng_USA_Brown/adam38.cha, line 1919 · Adam 3;09
  4. so that the razor will cut the beard . MOT · eng_USA_Brown/adam38.cha, line 2404 · Adam 3;09
  5. you shave with the razor # don't you ? MOT · eng_USA_Brown/adam38.cha, line 2453 · Adam 3;09
  6. you don't mean razor blades . MOT · eng_USA_Brown/adam38.cha, line 2635 · Adam 3;09
  7. you mean a razor ? MOT · eng_USA_Brown/adam38.cha, line 2637 · Adam 3;09
  1. MOTyes # Paul wants to shave .
    CHII want to shave too .
    MOT*MOT: d(o) you have a razor blade # Adam ?
    CHIyep .
    MOTone side is alright .
  2. MOTwhat are those ?
    CHII don know .
    MOT*MOT: razor blades .
    CHIrazor blades .
    CHImaybe dat's why it's sticky .
  3. CHIwhere's my shaving thing ?
    CHId(o) you know where the razor is ?
    MOT*MOT: I think you are sitting on the razor .
    CHIhey # I have been sitting on the razor .
    MOThe's been trying this for the past several days .
  4. CHIclose it .
    CHIMommy # why you put razor blades in it # huh ?
    MOT*MOT: so that the razor will cut the beard .
    MOTas long as the blade stays in don't you think that's alright ?
    CHII want it to stay in .
  5. CHIis that enough ?
    CHIis that enough shaving cream ?
    MOT*MOT: you shave with the razor # don't you ?
    CHIwhy d(o) you call that cream ?
    MOTwhy d(o) you call it cream ?
  6. CHIwhy razor blades have handles ?
    MOThow could you hold it ?
    MOT*MOT: you don't mean razor blades .
    MOTyou mean a razor ?
    CHIyeah .
  7. MOThow could you hold it ?
    MOTyou don't mean razor blades .
    MOT*MOT: you mean a razor ?
    CHIyeah .
    CHIMommy # what is dat thing dat shaves ?

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. Adam eng_USA_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam38.chaAdam 3;9.162,317773.02

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. razor7 · 100.0%