PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. and you have one . GLO · eng_USA_Brown/sarah027.cha, line 174 · Sarah 2;09
  2. you have one earring don't you ? GLO · eng_USA_Brown/sarah027.cha, line 178 · Sarah 2;09
  3. and where's another one ? MOT · eng_USA_Brown/sarah027.cha, line 273 · Sarah 2;09
  4. one +... MOT · eng_USA_Brown/sarah027.cha, line 387 · Sarah 2;09
  5. one seven four [?] . MOT · eng_USA_Brown/sarah027.cha, line 391 · Sarah 2;09
  6. <one seven four> [?] . MOT · eng_USA_Brown/sarah027.cha, line 432 · Sarah 2;09
  7. <one seven four> [?] . MOT · eng_USA_Brown/sarah027.cha, line 436 · Sarah 2;09
  8. here's another one ? MOT · eng_USA_Brown/sarah027.cha, line 1201 · Sarah 2;09
  1. GLOtwo ?
    CHII have one .
    GLO*GLO: and you have one .
    GLOok .
    GLOyou have one earring don't you ?
  2. GLOand you have one .
    GLOok .
    GLO*GLO: you have one earring don't you ?
    CHIyes # I have one earring .
    GLOand how many do I have ?
  3. MOTwhere's the great big container of milk ?
    CHIdere .
    MOT*MOT: and where's another one ?
    CHIright dere .
    MOTwhere is it ?
  4. CHIPutnam_Avenue .
    MOTwhat number ?
    MOT*MOT: one +...
    CHIseven all &foo .
    MOTone seven four [?] .
  5. MOTone +...
    CHIseven all &foo .
    MOT*MOT: one seven four [?] .
    CHIfour [<] .
    CHIxxx legs .
  6. MOTwhat number ?
    CHIsev(en) four .
    MOT*MOT: <one seven four> [?] .
    CHI<(se)ven four> [?] .
    MOT<one seven four> [?] .
  7. MOT<one seven four> [?] .
    CHI<(se)ven four> [?] .
    MOT*MOT: <one seven four> [?] .
    CHI<four> [<] .
    CHIa fishie .
  8. MOTstar .
    CHIhere (a)no(ther) one .
    MOT*MOT: here's another one ?
    MOTwho told you how to do that ?
    CHIme .

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_Brown6.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245886.43

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. one8 · 100.0%