PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. why don't you give Tiny_Tears some breakfast . MOT · eng_british_Manchester_I/becky03a.cha, line 24 · Becky 2;00
  2. sit Tiny_Tears at the table , Becky . MOT · eng_british_Manchester_I/becky03a.cha, line 133 · Becky 2;00
  3. do you want Tiny_Tears to sit in the other chair ? MOT · eng_british_Manchester_I/becky03a.cha, line 183 · Becky 2;00
  4. do you think Tiny_Tears might like to have a sleep ? MOT · eng_british_Manchester_I/becky03a.cha, line 558 · Becky 2;00
  5. why don't you do it with Tiny_Tears ? MOT · eng_british_Manchester_I/becky03a.cha, line 707 · Becky 2;00
  6. if yo play with Tiny_Tears for a little bit . INV · eng_british_Manchester_I/becky03a.cha, line 860 · Becky 2;00
  1. MOTyou've got all your toys , haven't you ?
    MOTplay with some of your toys first .
    MOT*MOT: why don't you give Tiny_Tears some breakfast .
    CHIxxx .
    CHIsome breakfast .
  2. MOTyeah ?
    MOThere we are .
    MOT*MOT: sit Tiny_Tears at the table , Becky .
    MOTshall we sit her at the table ?
    MOTyeah ?
  3. 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 ?
  4. INVit's two strangers looking at you rather than one .
    MOTyeah .
    MOT*MOT: do you think Tiny_Tears might like to have a sleep ?
    MOTdo you think she's tired ?
    MOThmm ?
  5. MOTis that good ?
    CHIagain .
    MOT*MOT: why don't you do it with Tiny_Tears ?
    MOTshe could sit on your knee .
    CHIagain .
  6. CHItoys out .
    INVyes .
    INV*INV: if yo play with Tiny_Tears for a little bit .
    INVthen you can have some toys .
    MOTwhoops .

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_I2.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky03a.chaBecky 2;0.282,080662.88

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. tiny_tears6 · 100.0%