PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. a car . SAR · eng_USA_Brown/sarah002.cha, line 182
  2. car . MOT · eng_USA_Brown/sarah002.cha, line 184
  3. a eye yy car . SAR · eng_USA_Brown/sarah002.cha, line 245
  4. car . MOT · eng_USA_Brown/sarah002.cha, line 248
  5. more car . SAR · eng_USA_Brown/sarah002.cha, line 250
  1. eng_USA_Brown/sarah002.cha, line 182
    MOTyeah .
    MOTwhat's this ?
    SAR*SAR: a car .
    MOTcar .
    MOTwhat's this ?
  2. eng_USA_Brown/sarah002.cha, line 184
    MOTwhat's this ?
    SARa car .
    MOT*MOT: car .
    MOTwhat's this ?
    SARa chair .
  3. eng_USA_Brown/sarah002.cha, line 245
    SARa eye .
    MOThmm ?
    SAR*SAR: a eye yy car .
    MOTcar .
    SARmore car .
  4. eng_USA_Brown/sarah002.cha, line 248
    MOThmm ?
    SARa eye yy car .
    MOT*MOT: car .
    SARmore car .
    MOTmore cars .
  5. eng_USA_Brown/sarah002.cha, line 250
    SARa eye yy car .
    MOTcar .
    SAR*SAR: more car .
    MOTmore cars .
    MOTwhat's this ?

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273553.93

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. car5 · 100.0%