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. tell me what you've been doing . MEL · eng_USA_Brown/sarah131.cha, line 43 · Sarah 4;11
  2. it must have been an accident . MOT · eng_USA_Brown/sarah131.cha, line 268 · Sarah 4;11
  3. you've been to the beach ? MOT · eng_USA_Brown/sarah131.cha, line 526 · Sarah 4;11
  4. for all the tea I've been drinking . MEL · eng_USA_Brown/sarah131.cha, line 1249 · Sarah 4;11
  1. MOTnow go over there and talk to Melissa .
    MELcome in and talk to me # Sarah .
    MEL*MEL: tell me what you've been doing .
    CHIum # I was playin(g) .
    MELyou were playing .
  2. MELvery good .
    MELthat's right .
    MOT*MOT: it must have been an accident .
    CHIum +...
    MELtell me what you're gonna do on your birthday .
  3. CHImmhm # I have to erase that off .
    CHIno # I don't .
    MOT*MOT: you've been to the beach ?
    MOTyou feel it # too .
    MELdid you really burn ?
  4. MELa cup and saucer .
    MELoh # that's really cool .
    MEL*MEL: for all the tea I've been drinking .
    MELI should keep it here for my teacup .
    MELoh thanks a lot .

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. been4 · 100.0%