PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

16.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (260 utterances, 538 words searched).

  1. what is it ? MOT · eng_USA_Brown/sarah001.cha, line 66
  2. what is it ? MOT · eng_USA_Brown/sarah001.cha, line 193
  3. it's a door . MOT · eng_USA_Brown/sarah001.cha, line 291
  4. she knows what it does . MOT · eng_USA_Brown/sarah001.cha, line 309
  5. she knows what it does . MOT · eng_USA_Brown/sarah001.cha, line 314
  6. oh # it's a Bobo@f . GLO · eng_USA_Brown/sarah001.cha, line 337
  7. say it loud . MOT · eng_USA_Brown/sarah001.cha, line 420
  8. say it loud . MOT · eng_USA_Brown/sarah001.cha, line 422
  9. oh is it ? GLO · eng_USA_Brown/sarah001.cha, line 586
  1. eng_USA_Brown/sarah001.cha, line 66
    MOTwhat's that ?
    SARa yy .
    MOT*MOT: what is it ?
    MOTwhat's this ?
    SARyy yy .
  2. eng_USA_Brown/sarah001.cha, line 193
    MOTwhat's that up there ?
    SARxx .
    MOT*MOT: what is it ?
    SARxx .
    SARyy .
  3. eng_USA_Brown/sarah001.cha, line 291
    ROGyes .
    SARxx .
    MOT*MOT: it's a door .
    SARxx .
    ROGwhat's this ?
  4. eng_USA_Brown/sarah001.cha, line 309
    SARa cut .
    MOTSarah .
    MOT*MOT: she knows what it does .
    MOTwhat's this ?
    MOTshe knows what it does .
  5. eng_USA_Brown/sarah001.cha, line 314
    MOTshe knows what it does .
    MOTwhat's this ?
    MOT*MOT: she knows what it does .
    MOTwhat's this ?
    SARa book .
  6. eng_USA_Brown/sarah001.cha, line 337
    GLOwhat's that ?
    SARa Bobo@f .
    GLO*GLO: oh # it's a Bobo@f .
    SARno .
    MOTlet me see .
  7. eng_USA_Brown/sarah001.cha, line 420
    MOTwhat's this ?
    SARxx .
    MOT*MOT: say it loud .
    MOTsay it loud .
    ROGI can't hear you .
  8. eng_USA_Brown/sarah001.cha, line 422
    SARxx .
    MOTsay it loud .
    MOT*MOT: say it loud .
    ROGI can't hear you .
    ROGI can't hear you .
  9. eng_USA_Brown/sarah001.cha, line 586
    SARsee dolly .
    SARsee dolly .
    GLO*GLO: oh is it ?
    SARa xx .
    GLOand what's this ?

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown16.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah001.chaSarah 5389916.73

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. it9 · 100.0%