PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (573 utterances, 2,275 words searched).

  1. there's her pajamas . MOT · eng_british_Manchester_I/becky05a.cha, line 120 · Becky 2;01
  2. there's not a rabbit in there , is there ? MOT · eng_british_Manchester_I/becky05a.cha, line 292 · Becky 2;01
  3. there's Noddy and the other man in his car . MOT · eng_british_Manchester_I/becky05a.cha, line 777 · Becky 2;01
  4. there's a garden . MOT · eng_british_Manchester_I/becky05a.cha, line 1321 · Becky 2;01
  5. and there's Noddy . MOT · eng_british_Manchester_I/becky05a.cha, line 1366 · Becky 2;01
  6. there's no flowers though ,, are there here ? MOT · eng_british_Manchester_I/becky05a.cha, line 1406 · Becky 2;01
  7. there's lots and lots of toys to play with first . MOT · eng_british_Manchester_I/becky05a.cha, line 1528 · Becky 2;01
  8. there's one . MOT · eng_british_Manchester_I/becky05a.cha, line 1866 · Becky 2;01
  1. MOTno ?
    CHI(pa)jamas on .
    MOT*MOT: there's her pajamas .
    CHIthere .
    MOTshall we put her dressing gown on ?
  2. CHIrabbit in there .
    CHIrabbit .
    MOT*MOT: there's not a rabbit in there , is there ?
    CHII draw that .
    CHII draw that .
  3. MOThe's in his car there , look .
    CHINoddy .
    MOT*MOT: there's Noddy and the other man in his car .
    MOTwho's this ?
    CHIelephant .
  4. MOTmmhm .
    CHIthere .
    MOT*MOT: there's a garden .
    MOTNoddy doesn't look very happy , does he ?
    CHIno .
  5. MOTbears .
    CHIyeah .
    MOT*MOT: and there's Noddy .
    MOTnot yet .
    CHIbears .
  6. MOThuh ?
    CHIxxx .
    MOT*MOT: there's no flowers though ,, are there here ?
    CHIno .
    MOTwe've been that way once .
  7. MOTyes .
    MOTwe'll see it later .
    MOT*MOT: there's lots and lots of toys to play with first .
    CHIlots of toys .
    CHIxxx that .
  8. MOTno .
    MOTyou haven't , have you ?
    MOT*MOT: there's one .
    MOTwhere's the other one .
    CHIsteps .

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_I3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05a.chaBecky 2;1.242,275883.52

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. there's8 · 100.0%