PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (453 utterances, 1,834 words searched).

  1. come onto my knee xxx . MOT · eng_british_Manchester_I/becky05b.cha, line 1688 · Becky 2;01
  2. do you want to come onto my knee ? MOT · eng_british_Manchester_I/becky05b.cha, line 1691 · Becky 2;01
  3. I don't think Sukie will want to go on your knee . MOT · eng_british_Manchester_I/becky05b.cha, line 1728 · Becky 2;01
  4. up on my knee . MOT · eng_british_Manchester_I/becky05b.cha, line 1737 · Becky 2;01
  5. xxx up on knee . MOT · eng_british_Manchester_I/becky05b.cha, line 1743 · Becky 2;01
  1. MOTare you ?
    CHIxxx .
    MOT*MOT: come onto my knee xxx .
    MOTdo you want to come onto my knee ?
    CHIyes .
  2. CHIxxx .
    MOTcome onto my knee xxx .
    MOT*MOT: do you want to come onto my knee ?
    CHIyes .
    MOTnot you .
  3. CHIup on knee , Sukie .
    MOTno .
    MOT*MOT: I don't think Sukie will want to go on your knee .
    CHISukie .
    CHISukie .
  4. CHISukie .
    CHIup on knee .
    MOT*MOT: up on my knee .
    CHIyes .
    CHIup on knee .
  5. CHIyes .
    CHIup on knee .
    MOT*MOT: xxx up on knee .
    CHIxxx .
    MOTwhat's happened ?

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_I2.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05b.chaBecky 2;1.241,834552.73

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. knee5 · 100.0%