PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,027 words searched).

  1. right here # who's this ? MOT · eng_USA_Brown/sarah034.cha, line 432 · Sarah 2;10
  2. who's is ? MOT · eng_USA_Brown/sarah034.cha, line 438 · Sarah 2;10
  3. who's that ? MOT · eng_USA_Brown/sarah034.cha, line 440 · Sarah 2;10
  1. eng_USA_Brown/sarah034.cha, line 432 · Sarah, 2;10.20
    MOTwhat's his mumma's name ?
    MOTxxx # she's right here .
    MOT*MOT: right here # who's this ?
    CHIWilma .
    MOTno # that's Wilma # over there .
  2. eng_USA_Brown/sarah034.cha, line 438 · Sarah, 2;10.20
    CHIWilma .
    MOTno # that's Wilma # over there .
    MOT*MOT: who's is ?
    MOTwho's that ?
    MOTBetty !
  3. eng_USA_Brown/sarah034.cha, line 440 · Sarah, 2;10.20
    MOTno # that's Wilma # over there .
    MOTwho's is ?
    MOT*MOT: who's that ?
    MOTBetty !
    CHIBetty .

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_Brown2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah034.chaSarah 2;10.201,027332.92

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. who's3 · 100.0%