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. what's his baby's name ? MOT · eng_USA_Brown/sarah034.cha, line 397 · Sarah 2;10
  2. what's his mumma's name ? MOT · eng_USA_Brown/sarah034.cha, line 427 · Sarah 2;10
  3. his name is Ross # and he's fixing the stairs # for Nana . MOT · eng_USA_Brown/sarah034.cha, line 593 · Sarah 2;10
  1. eng_USA_Brown/sarah034.cha, line 397 · Sarah, 2;10.20
    CHIFred .
    MOTyeah .
    MOT*MOT: what's his baby's name ?
    CHIBam_Bam .
    MOTno # Pebbles .
  2. eng_USA_Brown/sarah034.cha, line 427 · Sarah, 2;10.20
    MOTno # Barney .
    CHIBarney .
    MOT*MOT: what's his mumma's name ?
    MOTxxx # she's right here .
    MOTright here # who's this ?
  3. eng_USA_Brown/sarah034.cha, line 593 · Sarah, 2;10.20
    MOTremember how # the bottom step used to # make noise when you went up ?
    MOThmm ?
    MOT*MOT: his name is Ross # and he's fixing the stairs # for Nana .
    MOTsee all the cars .
    CHIno !

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. his3 · 100.0%