PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (453 utterances, 1,834 words searched).

  1. what have they got on top ? MOT · eng_british_Manchester_I/becky05b.cha, line 392 · Becky 2;01
  2. who've you got there ? MOT · eng_british_Manchester_I/becky05b.cha, line 814 · Becky 2;01
  3. have we got a picture of a monkey ? MOT · eng_british_Manchester_I/becky05b.cha, line 834 · Becky 2;01
  4. well we haven't got anymore monkeys , have we ? MOT · eng_british_Manchester_I/becky05b.cha, line 893 · Becky 2;01
  5. Becky , I don't think we've got a picture of a monkey . MOT · eng_british_Manchester_I/becky05b.cha, line 1253 · Becky 2;01
  1. MOTlook at these .
    MOTthey look nice , don't they ?
    MOT*MOT: what have they got on top ?
    CHIcakes .
    MOTthey're cakes yes .
  2. CHIxxx .
    MOTwho's that , Becky ?
    MOT*MOT: who've you got there ?
    CHIa monkey .
    MOTa monkey .
  3. MOTpicture of the monkey ?
    CHIyeah .
    MOT*MOT: have we got a picture of a monkey ?
    CHIyeah .
    MOThave we ?
  4. CHIno .
    CHIno .
    MOT*MOT: well we haven't got anymore monkeys , have we ?
    CHIyes .
    MOThave we ?
  5. CHIpicture .
    CHIpicture .
    MOT*MOT: Becky , I don't think we've got a picture of a monkey .
    CHIyes .
    CHIyes .

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_I2.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05b.chaBecky 2;1.241,834552.73

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. got5 · 100.0%