PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,262 words searched).

  1. who likes it # too ? GLO · eng_USA_Brown/sarah044.cha, line 112 · Sarah 3;01
  2. Donna # too . GLO · eng_USA_Brown/sarah044.cha, line 116 · Sarah 3;01
  3. you've got something there too . GLO · eng_USA_Brown/sarah044.cha, line 706 · Sarah 3;01
  4. I guess not too many little girls your age know what that is . MOT · eng_USA_Brown/sarah044.cha, line 1260 · Sarah 3;01
  1. eng_USA_Brown/sarah044.cha, line 112 · Sarah, 3;1.10
    GLOdo you like it ?
    CHIDonna like it # too .
    GLO*GLO: who likes it # too ?
    CHImm .
    GLODonna # too .
  2. eng_USA_Brown/sarah044.cha, line 116 · Sarah, 3;1.10
    GLOwho likes it # too ?
    CHImm .
    GLO*GLO: Donna # too .
    GLODonna's your best friend # isn't she .
    CHIshe's my friend .
  3. eng_USA_Brown/sarah044.cha, line 706 · Sarah, 3;1.10
    CHIright here .
    GLOyeah # right there .
    GLO*GLO: you've got something there too .
    GLOwhat happened ?
    CHIum # blood .
  4. eng_USA_Brown/sarah044.cha, line 1260 · Sarah, 3;1.10
    GLOthat's right .
    CHIa microphone .
    MOT*MOT: I guess not too many little girls your age know what that is .
    CHIxxx .
    GLOwhat happened ?

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_Brown3.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah044.chaSarah 3;1.101,262443.17

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. too4 · 100.0%