PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (469 utterances, 1,776 words searched).

  1. is the car there ? MOT · eng_british_Manchester_II/nic07b.cha, line 256 · Nicole 2;02
  2. the car . MOT · eng_british_Manchester_II/nic07b.cha, line 274 · Nicole 2;02
  3. the car's not here . MOT · eng_british_Manchester_II/nic07b.cha, line 324 · Nicole 2;02
  4. is it going away because there's no car ? MOT · eng_british_Manchester_II/nic07b.cha, line 366 · Nicole 2;02
  5. is it going away because there's no car , Nicole ? MOT · eng_british_Manchester_II/nic07b.cha, line 371 · Nicole 2;02
  6. there's the car , look . MOT · eng_british_Manchester_II/nic07b.cha, line 1548 · Nicole 2;02
  7. are you going to put him in his car then and he can go for a ride now he's dressed ? MOT · eng_british_Manchester_II/nic07b.cha, line 1569 · Nicole 2;02
  1. MOTxxx .
    CHIbye .
    MOT*MOT: is the car there ?
    CHImmhm .
    CHIall gone .
  2. MOTit's not there .
    MOTand that's what you look forward to playing with , isn't it ?
    MOT*MOT: the car .
    MOToh dear .
    CHIoh dear .
  3. CHIcar .
    MOTyeah .
    MOT*MOT: the car's not here .
    MOTbut the giraffe can come in here , look .
    MOTunder one bridge and through the other bridge .
  4. MOThave you had enough ?
    MOTyeah ?
    MOT*MOT: is it going away because there's no car ?
    MOThey ?
    MOTis it going away because there's no car , Nicole ?
  5. MOTis it going away because there's no car ?
    MOThey ?
    MOT*MOT: is it going away because there's no car , Nicole ?
    CHIno .
    MOThmm ?
  6. MOTwant Mummy to dress him [//] her ?
    CHIwhere car .
    MOT*MOT: there's the car , look .
    CHIthis go ?
    CHIthis go ?
  7. MOTgot his dungarees on , haven't we ?
    CHIxxx .
    MOT*MOT: are you going to put him in his car then and he can go for a ride now he's dressed ?
    MOThmm ?
    CHImmhm .

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. Nicole eng_british_Manchester_II3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07b.chaNicole 2;2.271,776773.94

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. car7 · 100.0%