PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (330 utterances, 1,329 words searched).

  1. there's too many for one small cup . MOT · eng_british_Manchester_I/becky10a.cha, line 423 · Becky 2;03
  2. how many spoons have you got there , Becky ? MOT · eng_british_Manchester_I/becky10a.cha, line 537 · Becky 2;03
  3. how many spoons have you got ? MOT · eng_british_Manchester_I/becky10a.cha, line 791 · Becky 2;03
  4. how many have you got , Becky ? MOT · eng_british_Manchester_I/becky10a.cha, line 797 · Becky 2;03
  5. so how many pennys have you got ? MOT · eng_british_Manchester_I/becky10a.cha, line 1251 · Becky 2;03
  1. MOTwell .
    MOTthey willn't all fit in .
    MOT*MOT: there's too many for one small cup .
    CHIthat's mine .
    CHImine [x 5] .
  2. CHIall of those .
    CHIthose there .
    MOT*MOT: how many spoons have you got there , Becky ?
    CHIone two five four .
    MOTno .
  3. MOTmore ?
    CHIwhere 0are [*] more spoons ?
    MOT*MOT: how many spoons have you got ?
    CHIwhere 0are [*] more ?
    MOTwell .
  4. CHIwhere 0are [*] more ?
    MOTwell .
    MOT*MOT: how many have you got , Becky ?
    CHIwhere more ?
    MOTyou've got two .
  5. MOTI don't want black .
    CHIone penny .
    MOT*MOT: so how many pennys have you got ?
    CHIthree .
    MOTno .

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_I3.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky10a.chaBecky 2;3.061,329553.76

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. many5 · 100.0%