PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (421 utterances, 1,520 words searched).

  1. are you going to use these to tuck to her up with ? MOT · eng_british_Manchester_I/becky04b.cha, line 424 · Becky 2;01
  2. what are these look . MOT · eng_british_Manchester_I/becky04b.cha, line 1400 · Becky 2;01
  3. these pieces ? MOT · eng_british_Manchester_I/becky04b.cha, line 1464 · Becky 2;01
  4. there's these . MOT · eng_british_Manchester_I/becky04b.cha, line 1586 · Becky 2;01
  1. eng_british_Manchester_I/becky04b.cha, line 424 · Becky, 2;1.11
    MOTare you going to tuck her up ?
    CHIyeah .
    MOT*MOT: are you going to use these to tuck to her up with ?
    CHIyes .
    CHIa pillow .
  2. eng_british_Manchester_I/becky04b.cha, line 1400 · Becky, 2;1.11
    MOTit doesn't open , Becky .
    CHIxxx .
    MOT*MOT: what are these look .
    CHIbuns .
    MOTthey're not buns .
  3. eng_british_Manchester_I/becky04b.cha, line 1464 · Becky, 2;1.11
    MOTwhich pieces do you want , Becky ?
    MOThuh ?
    MOT*MOT: these pieces ?
    MOTlike that ?
    CHIyes .
  4. eng_british_Manchester_I/becky04b.cha, line 1586 · Becky, 2;1.11
    MOToh yes .
    MOTthere are , aren't there ?
    MOT*MOT: there's these .
    CHIyeah .
    MOThuh ?

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. Becky eng_british_Manchester_I2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky04b.chaBecky 2;1.111,520442.63

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. these4 · 100.0%