PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 1,399 words searched).

  1. what we gonna buy ? MOT · eng_USA_Brown/sarah032.cha, line 446 · Sarah 2;10
  2. what else are we gonna buy ? MOT · eng_USA_Brown/sarah032.cha, line 452 · Sarah 2;10
  3. know we got ta buy you new slippers # for the beach # uhhuh . MOT · eng_USA_Brown/sarah032.cha, line 499 · Sarah 2;10
  4. gonna buy new shoes ? MOT · eng_USA_Brown/sarah032.cha, line 507 · Sarah 2;10
  1. eng_USA_Brown/sarah032.cha, line 446 · Sarah, 2;10.05
    MOTwhat ?
    MOTwanna go shopping today ?
    MOT*MOT: what we gonna buy ?
    CHIum # toy(s) .
    MOTtoys ?
  2. eng_USA_Brown/sarah032.cha, line 452 · Sarah, 2;10.05
    CHIum # toy(s) .
    MOTtoys ?
    MOT*MOT: what else are we gonna buy ?
    CHIuh cups .
    MOTwhat ?
  3. eng_USA_Brown/sarah032.cha, line 499 · Sarah, 2;10.05
    MOTthat's (be)cause you need new slippers .
    MOTyour toe+toes are out .
    MOT*MOT: know we got ta buy you new slippers # for the beach # uhhuh .
    CHIxxx my shoes .
    CHIxxx buy new shoes .
  4. eng_USA_Brown/sarah032.cha, line 507 · Sarah, 2;10.05
    CHIxxx my shoes .
    CHIxxx buy new shoes .
    MOT*MOT: gonna buy new shoes ?
    CHII want buy new shoes .
    CHIa me .

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_Brown2.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah032.chaSarah 2;10.051,399442.86

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. buy4 · 100.0%