PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. how old are you gonna be . COU · eng_USA_Brown/sarah039.cha, line 124 · Sarah 2;11
  2. yeah # well how many is that many ? MOT · eng_USA_Brown/sarah039.cha, line 129 · Sarah 2;11
  3. how many is that # count em . MOT · eng_USA_Brown/sarah039.cha, line 141 · Sarah 2;11
  4. how many have I got ? MOT · eng_USA_Brown/sarah039.cha, line 145 · Sarah 2;11
  5. how'd it come out ? MOT · eng_USA_Brown/sarah039.cha, line 572 · Sarah 2;11
  6. how'd you get it out ? MOT · eng_USA_Brown/sarah039.cha, line 574 · Sarah 2;11
  7. how many dollies have you got down (a)t the beach ? MOT · eng_USA_Brown/sarah039.cha, line 777 · Sarah 2;11
  1. CHI(to)morrow my birthday !
    CHI(to)morrow my [/] my [/] my birthday .
    COU*COU: how old are you gonna be .
    CHIdat many .
    MOTyeah # well how many is that many ?
  2. COUhow old are you gonna be .
    CHIdat many .
    MOT*MOT: yeah # well how many is that many ?
    CHII [/] # <I want> [/] # I want .
    CHIdis many !
  3. MOTno # you're not gonna be that many .
    MOTyou're only gonna be that many .
    MOT*MOT: how many is that # count em .
    MOTcount em all on my fingers .
    MOThow many have I got ?
  4. MOThow many is that # count em .
    MOTcount em all on my fingers .
    MOT*MOT: how many have I got ?
    MOTone +...
    CHIone .
  5. MOThere # let's see .
    MOT<what'd he come> [//] # oh .
    MOT*MOT: how'd it come out ?
    MOThow'd you get it out ?
    CHI0 .
  6. MOT<what'd he come> [//] # oh .
    MOThow'd it come out ?
    MOT*MOT: how'd you get it out ?
    CHI0 .
    MOTbless you !
  7. MOTI like a baby that works .
    MOThaven't you got any babies around here that work # or are they all down at the the beach ?
    MOT*MOT: how many dollies have you got down (a)t the beach ?
    CHIfour !
    MOTmore than four .

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. Sarah eng_USA_Brown8.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859778.15

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. how7 · 100.0%