PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. like this # that's a four . MOT · eng_USA_Brown/sarah028.cha, line 18 · Sarah 2;09
  2. down # and this way # and that way . MOT · eng_USA_Brown/sarah028.cha, line 22 · Sarah 2;09
  3. no # not that way # this way . MOT · eng_USA_Brown/sarah028.cha, line 61 · Sarah 2;09
  4. we'll have to call up Auntie_Marilyn and get this straight # huh . MOT · eng_USA_Brown/sarah028.cha, line 288 · Sarah 2;09
  5. this one ? MOT · eng_USA_Brown/sarah028.cha, line 434 · Sarah 2;09
  6. this one ? MOT · eng_USA_Brown/sarah028.cha, line 440 · Sarah 2;09
  7. oh # is this the one you mean ? MOT · eng_USA_Brown/sarah028.cha, line 444 · Sarah 2;09
  8. you write on this . MOT · eng_USA_Brown/sarah028.cha, line 792 · Sarah 2;09
  1. CHIyou make four .
    MOTmake a four ?
    MOT*MOT: like this # that's a four .
    MOTthere # see # watch .
    MOTdown # and this way # and that way .
  2. MOTlike this # that's a four .
    MOTthere # see # watch .
    MOT*MOT: down # and this way # and that way .
    MOTfour .
    CHIfour ?
  3. MOTyeah .
    CHInot dis way .
    MOT*MOT: no # not that way # this way .
    CHIdis way .
    MOTyeah .
  4. CHIDawson ?
    CHII make Dawson ?
    MOT*MOT: we'll have to call up Auntie_Marilyn and get this straight # huh .
    CHImmhm .
    MOTI guess we will .
  5. CHIher [?] get my book .
    CHImy big book .
    MOT*MOT: this one ?
    CHIno # big [/] big book .
    MOTbig book ?
  6. CHIno # big [/] big book .
    MOTbig book ?
    MOT*MOT: this one ?
    CHIbig book .
    MOToh # is this the one you mean ?
  7. MOTthis one ?
    CHIbig book .
    MOT*MOT: oh # is this the one you mean ?
    MOToh .
    CHIyyy .
  8. MOT<we don't write on any> [//] <no # no> [/] # no .
    MOTdon't write on that .
    MOT*MOT: you write on this .
    CHIno !
    CHII write foot .

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_Brown6.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149886.96

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. this8 · 100.0%