PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

3.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (547 utterances, 2,679 words searched).

  1. how many ? MOT · eng_USA_Brown/adam43.cha, line 138 · Adam 4;01
  2. so how many should you have up ? MOT · eng_USA_Brown/adam43.cha, line 149 · Adam 4;01
  3. I think you've got one too many . MOT · eng_USA_Brown/adam43.cha, line 166 · Adam 4;01
  4. how many little puppies over here ? MOT · eng_USA_Brown/adam43.cha, line 174 · Adam 4;01
  5. how many d(o) you need to push up ? MOT · eng_USA_Brown/adam43.cha, line 211 · Adam 4;01
  6. how many school children will be late ? MOT · eng_USA_Brown/adam43.cha, line 237 · Adam 4;01
  7. how many ? MOT · eng_USA_Brown/adam43.cha, line 249 · Adam 4;01
  8. how many do you have up there ? MOT · eng_USA_Brown/adam43.cha, line 317 · Adam 4;01
  9. tell me how many have you found . MOT · eng_USA_Brown/adam43.cha, line 340 · Adam 4;01
  10. if you can count # tell me how many I have up there . MOT · eng_USA_Brown/adam43.cha, line 815 · Adam 4;01
  1. eng_USA_Brown/adam43.cha, line 138 · Adam, 4;1.15
    MOT# count them .
    CHIone # two # three # four .
    MOT*MOT: how many ?
    MOTcount again .
    CHIone # one .
  2. eng_USA_Brown/adam43.cha, line 149 · Adam, 4;1.15
    MOTone and one make what ?
    CHItwo kittens .
    MOT*MOT: so how many should you have up ?
    MOTthat's right .
    MOT# you should have three up .
  3. eng_USA_Brown/adam43.cha, line 166 · Adam, 4;1.15
    MOTdoes it look exactly like that ?
    CHIyep yep yep yep .
    MOT*MOT: I think you've got one too many .
    CHIyou forgot about # de other ones # huh ?
    MOTmaybe on another page you'll use the other ones .
  4. eng_USA_Brown/adam43.cha, line 174 · Adam, 4;1.15
    CHIyou forgot about # de other ones # huh ?
    MOTmaybe on another page you'll use the other ones .
    MOT*MOT: how many little puppies over here ?
    CHIone # two # three # four .
    MOT# one # two # three # four on your number fun +...
  5. eng_USA_Brown/adam43.cha, line 211 · Adam, 4;1.15
    CHI<three # four # five # six> [<] .
    CHInow this goes up # huh ?
    MOT*MOT: how many d(o) you need to push up ?
    CHIoh yeah # six # see ?
    CHIdose about dat many .
  6. eng_USA_Brown/adam43.cha, line 237 · Adam, 4;1.15
    CHIno # two dere .
    CHIand two dere .
    MOT*MOT: how many school children will be late ?
    MOTcount them .
    CHIone # two # three # four # five # six # seven # eight .
  7. eng_USA_Brown/adam43.cha, line 249 · Adam, 4;1.15
    CHIeight .
    CHInow push these up .
    MOT*MOT: how many ?
    MOTthis is what eight will look like .
    MOTnow all the shiny cars in a line .
  8. eng_USA_Brown/adam43.cha, line 317 · Adam, 4;1.15
    CHIpush two up now .
    MOTthat's for that one .
    MOT*MOT: how many do you have up there ?
    CHIone .
    MOT# count them before they run away .
  9. eng_USA_Brown/adam43.cha, line 340 · Adam, 4;1.15
    CHInow count em again .
    CHIone # two # three # four # five # six # seven .
    MOT*MOT: tell me how many have you found .
    MOTcan you count the toys ?
    CHIone # two # three # four # five # six # seven # eight # nine # ten .
  10. eng_USA_Brown/adam43.cha, line 815 · Adam, 4;1.15
    CHIsee # leave two up there .
    MOTok .
    MOT*MOT: if you can count # tell me how many I have up there .
    CHIone # one # one .
    CHItwo # two # two .

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. Adam eng_USA_Brown3.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam43.chaAdam 4;1.152,67910103.73

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. many10 · 100.0%