PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (258 utterances, 1,148 words searched).

  1. how did ya do that ? MOT · eng_USA_Brown/sarah137.cha, line 19 · Sarah 5;00
  2. Sandra was holdin(g) ya ? MOT · eng_USA_Brown/sarah137.cha, line 31 · Sarah 5;00
  3. what are ya gonna do on Wednesdays (a)n(d) Mondays # huh ? MOT · eng_USA_Brown/sarah137.cha, line 371 · Sarah 5;00
  4. what are ya gonna do when Gail won't come any more ? MOT · eng_USA_Brown/sarah137.cha, line 374 · Sarah 5;00
  5. Donny was sayin(g) that she's not gonna be gettin(g) any more money # ya know ? MOT · eng_USA_Brown/sarah137.cha, line 377 · Sarah 5;00
  1. GAIwe'll listen later and see .
    CHIMama # I'm bleedin(g) .
    MOT*MOT: how did ya do that ?
    CHII banged myself .
    MOTon what ?
  2. GAIhow did you bang yourself ?
    CHISandra was holdin(g) me .
    MOT*MOT: Sandra was holdin(g) ya ?
    CHISandra # not Ann_Marie .
    CHIAnn +/.
  3. GAIhe'll get one pretty soon .
    MOTyup # pretty soon no more school .
    MOT*MOT: what are ya gonna do on Wednesdays (a)n(d) Mondays # huh ?
    MOTwhat are ya gonna do when Gail won't come any more ?
    MOTDonny was sayin(g) that she's not gonna be gettin(g) any more money # ya know ?
  4. MOTyup # pretty soon no more school .
    MOTwhat are ya gonna do on Wednesdays (a)n(d) Mondays # huh ?
    MOT*MOT: what are ya gonna do when Gail won't come any more ?
    MOTDonny was sayin(g) that she's not gonna be gettin(g) any more money # ya know ?
    MOTor somethin(g) from Harvard .
  5. MOTwhat are ya gonna do on Wednesdays (a)n(d) Mondays # huh ?
    MOTwhat are ya gonna do when Gail won't come any more ?
    MOT*MOT: Donny was sayin(g) that she's not gonna be gettin(g) any more money # ya know ?
    MOTor somethin(g) from Harvard .
    MOTI don't know how he said it .

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_Brown4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah137.chaSarah 5;0.251,148554.36

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. ya5 · 100.0%