PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (618 utterances, 2,080 words searched).

  1. do you want to sit her at the table ? MOT · eng_british_Manchester_I/becky03a.cha, line 111 · Becky 2;00
  2. sit Tiny_Tears at the table , Becky . MOT · eng_british_Manchester_I/becky03a.cha, line 133 · Becky 2;00
  3. shall we sit her at the table ? MOT · eng_british_Manchester_I/becky03a.cha, line 135 · Becky 2;00
  4. you usually sit in the other chair as well though , don't you ? MOT · eng_british_Manchester_I/becky03a.cha, line 180 · Becky 2;00
  5. do you want Tiny_Tears to sit in the other chair ? MOT · eng_british_Manchester_I/becky03a.cha, line 183 · Becky 2;00
  6. sit on Mummy's knee and then sing it for us . MOT · eng_british_Manchester_I/becky03a.cha, line 613 · Becky 2;00
  7. she could sit on your knee . MOT · eng_british_Manchester_I/becky03a.cha, line 710 · Becky 2;00
  1. CHIxxx .
    CHIno .
    MOT*MOT: do you want to sit her at the table ?
    CHIyeah .
    MOTgo on then .
  2. MOTyeah ?
    MOThere we are .
    MOT*MOT: sit Tiny_Tears at the table , Becky .
    MOTshall we sit her at the table ?
    MOTyeah ?
  3. MOThere we are .
    MOTsit Tiny_Tears at the table , Becky .
    MOT*MOT: shall we sit her at the table ?
    MOTyeah ?
    CHImine .
  4. INVright .
    INVwas that the problem ?
    MOT*MOT: you usually sit in the other chair as well though , don't you ?
    MOTdo you want Tiny_Tears to sit in the other chair ?
    CHIyeah .
  5. INVwas that the problem ?
    MOTyou usually sit in the other chair as well though , don't you ?
    MOT*MOT: do you want Tiny_Tears to sit in the other chair ?
    CHIyeah .
    MOTdo you ?
  6. CHIxxx .
    MOTare you going to sing her Rock_a_Bye_Baby ?
    MOT*MOT: sit on Mummy's knee and then sing it for us .
    MOTcan you sing to her ?
    CHIrock a baby .
  7. CHIagain .
    MOTwhy don't you do it with Tiny_Tears ?
    MOT*MOT: she could sit on your knee .
    CHIagain .
    MOTcouldn't she ?

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_I3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky03a.chaBecky 2;0.282,080773.37

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. sit7 · 100.0%