PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,572 words searched).

  1. want to make a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 151 · Sarah 3;04
  2. let's make a nitch@t . MOT · eng_USA_Brown/sarah056.cha, line 159 · Sarah 3;04
  3. here # let's make an eight # an h@l . GLO · eng_USA_Brown/sarah056.cha, line 228 · Sarah 3;04
  4. what make o(f) toys ? GLO · eng_USA_Brown/sarah056.cha, line 1076 · Sarah 3;04
  5. xxx make some things very nice . GLO · eng_USA_Brown/sarah056.cha, line 1141 · Sarah 3;04
  6. oh # you can make a nice noise . GLO · eng_USA_Brown/sarah056.cha, line 1277 · Sarah 3;04
  1. eng_USA_Brown/sarah056.cha, line 151 · Sarah, 3;4.01
    GLOthere # you made a fish .
    CHImake an h@l .
    MOT*MOT: want to make a nitch@t ?
    MOThere we go .
    MOToh # what happened to your finger # honey ?
  2. eng_USA_Brown/sarah056.cha, line 159 · Sarah, 3;4.01
    MOThere we go .
    MOToh # what happened to your finger # honey ?
    MOT*MOT: let's make a nitch@t .
    MOTthere's that .
    MOTdoes that look like a nitch@t ?
  3. eng_USA_Brown/sarah056.cha, line 228 · Sarah, 3;4.01
    GLOan h@l .
    CHIno # it's not .
    GLO*GLO: here # let's make an eight # an h@l .
    GLOis that what you mean # an h@l ?
    MOTno .
  4. eng_USA_Brown/sarah056.cha, line 1076 · Sarah, 3;4.01
    MOTwhat ?
    CHII wan(t) Kellogg # xxx can't p(l)ay with it .
    GLO*GLO: what make o(f) toys ?
    CHIyyy ?
    MOTgee # I don't know .
  5. eng_USA_Brown/sarah056.cha, line 1141 · Sarah, 3;4.01
    MOThow about xxx one .
    CHIhey (S)noopy .
    GLO*GLO: xxx make some things very nice .
    CHI(S)noopy # yeah .
    GLOxxx .
  6. eng_USA_Brown/sarah056.cha, line 1277 · Sarah, 3;4.01
    CHIan yyy bomb .
    GLOyes .
    GLO*GLO: oh # you can make a nice noise .
    GLOsounds like a cricket .
    GLOvery good .

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_Brown3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,572663.82

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. make6 · 100.0%