PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 1,651 words searched).

  1. is that what we buy for Sukie ? MOT · eng_british_Manchester_I/becky12b.cha, line 351 · Becky 2;03
  2. shall I give it to Sukie ? INV · eng_british_Manchester_I/becky12b.cha, line 586 · Becky 2;03
  3. I don't think Sukie likes cheese sandwiches very much . MOT · eng_british_Manchester_I/becky12b.cha, line 588 · Becky 2;03
  4. go over there , Sukie . MOT · eng_british_Manchester_I/becky12b.cha, line 1202 · Becky 2;03
  5. say you're sorry to Sukie . MOT · eng_british_Manchester_I/becky12b.cha, line 1228 · Becky 2;03
  6. poor old Sukie . MOT · eng_british_Manchester_I/becky12b.cha, line 1247 · Becky 2;03
  7. that's Sukie's , isn't it ? MOT · eng_british_Manchester_I/becky12b.cha, line 1464 · Becky 2;03
  1. CHIcat+food .
    MOTcat+food .
    MOT*MOT: is that what we buy for Sukie ?
    CHIyes .
    MOTlooks like it , doesn't it ?
  2. INVlovely .
    CHISukie want to .
    INV*INV: shall I give it to Sukie ?
    MOTI don't think Sukie likes cheese sandwiches very much .
    CHIyes .
  3. CHISukie want to .
    INVshall I give it to Sukie ?
    MOT*MOT: I don't think Sukie likes cheese sandwiches very much .
    CHIyes .
    CHIhe is [*] .
  4. INVno .
    INVwww .
    MOT*MOT: go over there , Sukie .
    CHIgo over there .
    MOTBecky .
  5. MOTthat is very naughty .
    MOTnow .
    MOT*MOT: say you're sorry to Sukie .
    CHIsorry , Sukie .
    MOTgive him a stroke properly .
  6. MOTit hurts him .
    CHIxxx .
    MOT*MOT: poor old Sukie .
    MOThe's been out all night and he can't find anywhere to sleep away from you , can he ?
    MOThmm ?
  7. MOTwell .
    MOTI can't sit there .
    MOT*MOT: that's Sukie's , isn't it ?
    CHIthat's mine .
    MOTbit dirty for you to sit on .

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_I4.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12b.chaBecky 2;3.271,651774.24

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. sukie7 · 100.0%