PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,487 words searched).

  1. I think this Bobo's a little broken up . MOT · eng_USA_Brown/sarah007.cha, line 82 · Sarah 2;04
  2. Bobo's all fixed . MOT · eng_USA_Brown/sarah007.cha, line 137 · Sarah 2;04
  3. what happened to Bobo's nose ? MOT · eng_USA_Brown/sarah007.cha, line 1274 · Sarah 2;04
  4. did you break Bobo's nose ? MOT · eng_USA_Brown/sarah007.cha, line 1282 · Sarah 2;04
  1. eng_USA_Brown/sarah007.cha, line 82 · Sarah, 2;4.10
    CHIa Bobo .
    MOTyeah # wait'll I fix him .
    MOT*MOT: I think this Bobo's a little broken up .
    MOThe's not in good shape at all .
    CHI0 .
  2. eng_USA_Brown/sarah007.cha, line 137 · Sarah, 2;4.10
    MOTthen don't cry .
    MOTthere he is .
    MOT*MOT: Bobo's all fixed .
    CHIyyy .
    MOTwrite your name .
  3. eng_USA_Brown/sarah007.cha, line 1274 · Sarah, 2;4.10
    CHIxxx .
    MOToh # he's got a crooked nose # huh .
    MOT*MOT: what happened to Bobo's nose ?
    CHIxxx .
    MOTdid you do that ?
  4. eng_USA_Brown/sarah007.cha, line 1282 · Sarah, 2;4.10
    MOTdid you do that ?
    CHI0 .
    MOT*MOT: did you break Bobo's nose ?
    CHI0 .
    CHII break Bob(o) nose .

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_Brown2.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah007.chaSarah 2;4.101,487442.69

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. bobo's4 · 100.0%