PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,658 words searched).

  1. it must have been an accident . MOT · eng_USA_Brown/sarah131.cha, line 268 · Sarah 4;11
  2. you needed an n@l to do it ? MEL · eng_USA_Brown/sarah131.cha, line 499 · Sarah 4;11
  3. you didn't know an n@l ? MEL · eng_USA_Brown/sarah131.cha, line 507 · Sarah 4;11
  4. an s@l ? MOT · eng_USA_Brown/sarah131.cha, line 731 · Sarah 4;11
  1. eng_USA_Brown/sarah131.cha, line 268 · Sarah, 4;11.13
    MELvery good .
    MELthat's right .
    MOT*MOT: it must have been an accident .
    CHIum +...
    MELtell me what you're gonna do on your birthday .
  2. eng_USA_Brown/sarah131.cha, line 499 · Sarah, 4;11.13
    CHII told ya I need the n@l to do it .
    MOTyou needed a what ?
    MEL*MEL: you needed an n@l to do it ?
    MELI didn't understand why .
    MELwhy did you need one ?
  3. eng_USA_Brown/sarah131.cha, line 507 · Sarah, 4;11.13
    MELwhy did you need one ?
    CHIbecause I didn't know it .
    MEL*MEL: you didn't know an n@l ?
    CHIyeah .
    MELyes # you did .
  4. eng_USA_Brown/sarah131.cha, line 731 · Sarah, 4;11.13
    MOTwhat's that ?
    CHIan s@l .
    MOT*MOT: an s@l ?
    CHIyeah .
    GAIstart over here # Sarah # and then pull your pencil to me # and then down .

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_Brown2.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah131.chaSarah 4;11.131,658442.41

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. an4 · 100.0%