PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. a chair . SAR · eng_USA_Brown/sarah002.cha, line 188
  2. a chair . MOT · eng_USA_Brown/sarah002.cha, line 190
  3. a chair . SAR · eng_USA_Brown/sarah002.cha, line 235
  4. a chair . MOT · eng_USA_Brown/sarah002.cha, line 237
  5. that's not a chair . MOT · eng_USA_Brown/sarah002.cha, line 689
  6. a chair . SAR · eng_USA_Brown/sarah002.cha, line 883
  1. eng_USA_Brown/sarah002.cha, line 188
    MOTcar .
    MOTwhat's this ?
    SAR*SAR: a chair .
    MOTa chair .
    MOToh # who's this ?
  2. eng_USA_Brown/sarah002.cha, line 190
    MOTwhat's this ?
    SARa chair .
    MOT*MOT: a chair .
    MOToh # who's this ?
    SARa eye .
  3. eng_USA_Brown/sarah002.cha, line 235
    MOTxx upside+down .
    MOTwhat's this ?
    SAR*SAR: a chair .
    MOTa chair .
    MOTwhat is this ?
  4. eng_USA_Brown/sarah002.cha, line 237
    MOTwhat's this ?
    SARa chair .
    MOT*MOT: a chair .
    MOTwhat is this ?
    SARa eye .
  5. eng_USA_Brown/sarah002.cha, line 689
    SARyy .
    SARa yy .
    MOT*MOT: that's not a chair .
    MOTwhat's that ?
    SARa light .
  6. eng_USA_Brown/sarah002.cha, line 883
    SARMommy .
    MOTyeah # what's that ?
    SAR*SAR: a chair .
    SARa key .
    SARxx .

Matches by child

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

  1. Sarah eng_USA_Brown4.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273664.71

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. chair6 · 100.0%