PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,645 words searched).

  1. what's she doing here ? GAI · eng_USA_Brown/sarah105.cha, line 165 · Sarah 4;04
  2. what's that ? GAI · eng_USA_Brown/sarah105.cha, line 231 · Sarah 4;04
  3. no # what's that ? GAI · eng_USA_Brown/sarah105.cha, line 263 · Sarah 4;04
  4. what's getting you so wild ? GAI · eng_USA_Brown/sarah105.cha, line 575 · Sarah 4;04
  5. yeah # what's wrong with you ? FAT · eng_USA_Brown/sarah105.cha, line 577 · Sarah 4;04
  6. what's that ? MOT · eng_USA_Brown/sarah105.cha, line 1329 · Sarah 4;04
  1. GAIwhat is this ?
    CHIa doll .
    GAI*GAI: what's she doing here ?
    CHIputtin(g) her hands in her mouth or somethin(g) .
    GAIputting her hands in her mouth ?
  2. MOTSarah get over here .
    CHIbah@b [/] # bah@b .
    GAI*GAI: what's that ?
    CHIa picture .
    GAIwho's in that picture ?
  3. CHIyeah .
    CHIthat ain't a dress .
    GAI*GAI: no # what's that ?
    CHIlet me see .
    CHIa sport jacket .
  4. MOTisn't that awful .
    MOTa couple a days like this and I'll go crazy .
    GAI*GAI: what's getting you so wild ?
    FATyeah # what's wrong with you ?
    FATare you sick ?
  5. MOTa couple a days like this and I'll go crazy .
    GAIwhat's getting you so wild ?
    FAT*FAT: yeah # what's wrong with you ?
    FATare you sick ?
    MOThow's your cold ?
  6. CHIyou did the eyes # and she did the nose .
    CHIsee # one nose .
    MOT*MOT: what's that ?
    MOTthat can't be rosy cheeks .
    CHIyes # it is .

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_Brown3.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.181,645663.65

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. what's6 · 100.0%