PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,623 words searched).

  1. o:h # how beautiful ! GAI · eng_USA_Brown/sarah112.cha, line 226 · Sarah 4;06
  2. do you know how to dance with them ? GAI · eng_USA_Brown/sarah112.cha, line 354 · Sarah 4;06
  3. I don't know how you get em on . MOT · eng_USA_Brown/sarah112.cha, line 433 · Sarah 4;06
  4. how does it go ? MOT · eng_USA_Brown/sarah112.cha, line 642 · Sarah 4;06
  5. how would I know ? MOT · eng_USA_Brown/sarah112.cha, line 658 · Sarah 4;06
  6. how is that tablecloth coming # Sarah ? GAI · eng_USA_Brown/sarah112.cha, line 663 · Sarah 4;06
  7. how many fingers ? GAI · eng_USA_Brown/sarah112.cha, line 847 · Sarah 4;06
  8. how many fingers on your hand ? GAI · eng_USA_Brown/sarah112.cha, line 857 · Sarah 4;06
  1. MOToh # show her what's in the box .
    CHIalright .
    GAI*GAI: o:h # how beautiful !
    GAIare those for you ?
    CHIyep .
  2. CHIdey fit me .
    CHIdey fit me .
    GAI*GAI: do you know how to dance with them ?
    CHIuhhuh .
    CHIcan I show her ?
  3. MOTSarah # I can't sew them on (un)till I get the elastic .
    CHIoh .
    MOT*MOT: I don't know how you get em on .
    MOTwell push your toe +...
    MOTstand up .
  4. MOThey big daddy .
    MOTsomethin(g) about big daddy .
    MOT*MOT: how does it go ?
    CHIhi big daddy .
    MOThuh ?
  5. MOThi big daddy ?
    CHIMommy # what I was lookin(g) for ?
    MOT*MOT: how would I know ?
    MOTyou didn't tell me .
    GAIhow is that tablecloth coming # Sarah ?
  6. MOThow would I know ?
    MOTyou didn't tell me .
    GAI*GAI: how is that tablecloth coming # Sarah ?
    CHIfine .
    MOTfine .
  7. GAIwhat ?
    CHIhand .
    GAI*GAI: how many fingers ?
    CHIone # two .
    CHIone # two # three .
  8. CHIis this three ?
    GAImmhm .
    GAI*GAI: how many fingers on your hand ?
    CHIone # two +...
    CHIone # two # three # four # five .

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_Brown4.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.051,623884.93

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. how8 · 100.0%