PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,418 words searched).

  1. you've got to say how many straws there are . MOT · eng_british_Manchester_I/becky31a.cha, line 87 · Becky 2;10
  2. and how many is there there ? MOT · eng_british_Manchester_I/becky31a.cha, line 182 · Becky 2;10
  3. how many ghosts . MOT · eng_british_Manchester_I/becky31a.cha, line 378 · Becky 2;10
  4. how many have you turned over there ? MOT · eng_british_Manchester_I/becky31a.cha, line 1241 · Becky 2;10
  5. how many monkeys ? MOT · eng_british_Manchester_I/becky31a.cha, line 1302 · Becky 2;10
  1. eng_british_Manchester_I/becky31a.cha, line 87 · Becky, 2;10.25
    MOThaven't we ?
    CHIdone that one .
    MOT*MOT: you've got to say how many straws there are .
    CHIone two three four five six seven eight nine ten eleven twelve .
    MOTyeah .
  2. eng_british_Manchester_I/becky31a.cha, line 182 · Becky, 2;10.25
    CHInot with two windows .
    MOTthere's [/] there's two windows in there .
    MOT*MOT: and how many is there there ?
    CHIone .
    MOTthat's right .
  3. eng_british_Manchester_I/becky31a.cha, line 378 · Becky, 2;10.25
    MOTwhat's that ?
    CHIsome ghosts .
    MOT*MOT: how many ghosts .
    CHIone two .
    MOTtwo ghosts .
  4. eng_british_Manchester_I/becky31a.cha, line 1241 · Becky, 2;10.25
    MOToh .
    MOTyou've turned +//.
    MOT*MOT: how many have you turned over there ?
    MOTyou've turned two over .
    MOTlet's put one down .
  5. eng_british_Manchester_I/becky31a.cha, line 1302 · Becky, 2;10.25
    MOTwhat've we got ?
    CHImonkeys .
    MOT*MOT: how many monkeys ?
    CHIone two .
    MOTand what happens if we have two monkeys ?

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_I3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.251,418553.53

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%