PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,304 words searched).

  1. bring it over here so I can see . GLO · eng_USA_Brown/sarah048.cha, line 208 · Sarah 3;02
  2. see # then next week Esther will put another one over here if ya do good . MOT · eng_USA_Brown/sarah048.cha, line 444 · Sarah 3;02
  3. we had a big argument over that doll the other day . MOT · eng_USA_Brown/sarah048.cha, line 869 · Sarah 3;02
  4. go over (a)n(d) listen (a)n(d) tell # (be)cause he doesn't know what he's say… MOT · eng_USA_Brown/sarah048.cha, line 1091 · Sarah 3;02
  5. she got it all over her legs . MOT · eng_USA_Brown/sarah048.cha, line 1205 · Sarah 3;02
  1. eng_USA_Brown/sarah048.cha, line 208 · Sarah, 3;2.10
    GLOa suit case ?
    GLOwhat's in the suit case ?
    GLO*GLO: bring it over here so I can see .
    CHIxxx here .
    CHIwai(t) .
  2. eng_USA_Brown/sarah048.cha, line 444 · Sarah, 3;2.10
    MOTwhat ?
    MOTyeah # that has to stay on there .
    MOT*MOT: see # then next week Esther will put another one over here if ya do good .
    CHItwo bunnies .
    MOTyeah .
  3. eng_USA_Brown/sarah048.cha, line 869 · Sarah, 3;2.10
    CHIum Donna .
    MOToh .
    MOT*MOT: we had a big argument over that doll the other day .
    CHIwhat ?
    CHIDonna ?
  4. eng_USA_Brown/sarah048.cha, line 1091 · Sarah, 3;2.10
    MOTI can't understand .
    MOT<what's he> [//] go tell Kent # what Bugs is sayin(g) .
    MOT*MOT: go over (a)n(d) listen (a)n(d) tell # (be)cause he doesn't know what he's sayin(g) .
    MOTwhat's he sayin(g) ?
    CHIhe like babies .
  5. eng_USA_Brown/sarah048.cha, line 1205 · Sarah, 3;2.10
    GLOyou goin(g) to wipe her mouth ?
    CHIshe go(t) i(t) &a all over the legs .
    MOT*MOT: she got it all over her legs .
    GLOshe's a pig isn't she ?
    CHIi(t) slide on .

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_Brown3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah048.chaSarah 3;2.101,304553.83

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. over5 · 100.0%