PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. yeah # well how many is that many ? MOT · eng_USA_Brown/sarah039.cha, line 129 · Sarah 2;11
  2. how many is that # count em . MOT · eng_USA_Brown/sarah039.cha, line 141 · Sarah 2;11
  3. who is he ? GRA · eng_USA_Brown/sarah039.cha, line 249 · Sarah 2;11
  4. who is he ? MOT · eng_USA_Brown/sarah039.cha, line 251 · Sarah 2;11
  5. well # what is it ? MOT · eng_USA_Brown/sarah039.cha, line 528 · Sarah 2;11
  6. oh # what is it ? MOT · eng_USA_Brown/sarah039.cha, line 557 · Sarah 2;11
  7. this is broke # isn't it ? MOT · eng_USA_Brown/sarah039.cha, line 714 · Sarah 2;11
  8. whose chair is that ? MOT · eng_USA_Brown/sarah039.cha, line 753 · Sarah 2;11
  9. what is it ? MOT · eng_USA_Brown/sarah039.cha, line 909 · Sarah 2;11
  1. COUhow old are you gonna be .
    CHIdat many .
    MOT*MOT: yeah # well how many is that many ?
    CHII [/] # <I want> [/] # I want .
    CHIdis many !
  2. 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 ?
  3. CHIArthur .
    GRAwho's Arthur ?
    GRA*GRA: who is he ?
    MOTwho is he ?
    CHIArthur .
  4. GRAwho's Arthur ?
    GRAwho is he ?
    MOT*MOT: who is he ?
    CHIArthur .
    MOTArthur who ?
  5. COUwhere's that ?
    CHIdere .
    MOT*MOT: well # what is it ?
    MOTyour what ?
    CHIbees .
  6. CHIlook # Mummy .
    CHIlook # Mummy .
    MOT*MOT: oh # what is it ?
    CHIbell .
    MOTwho does he go with ?
  7. CHIyeah .
    CHIxxx Tickles .
    MOT*MOT: this is broke # isn't it ?
    CHIyeah .
    CHIgot yyy .
  8. MOTyou love that # huh .
    CHIyeah .
    MOT*MOT: whose chair is that ?
    CHImine .
    MOToh yeah ?
  9. CHIcut dis .
    MOTcutting this ?
    MOT*MOT: what is it ?
    MOTwhat've you got in your hand ?
    CHIhuh ?

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_Brown10.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.308599910.48

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. is9 · 100.0%