PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. a nitch@t ? GLO · eng_USA_Brown/sarah056.cha, line 122 · Sarah 3;04
  2. a nitch@t ? GLO · eng_USA_Brown/sarah056.cha, line 126 · Sarah 3;04
  3. want to make a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 151 · Sarah 3;04
  4. let's make a nitch@t . MOT · eng_USA_Brown/sarah056.cha, line 159 · Sarah 3;04
  5. does that look like a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 164 · Sarah 3;04
  6. does this look like a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 166 · Sarah 3;04
  7. and # is that a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 180 · Sarah 3;04
  8. what does a nitch@t do ? GLO · eng_USA_Brown/sarah056.cha, line 193 · Sarah 3;04
  1. MOTa nudge@t ?
    CHIno # an h@l .
    GLO*GLO: a nitch@t ?
    CHIno # an h@l .
    GLOa nitch@t ?
  2. GLOa nitch@t ?
    CHIno # an h@l .
    GLO*GLO: a nitch@t ?
    CHIouch .
    CHII xxx him # huh ?
  3. 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 ?
  4. 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 ?
  5. MOTlet's make a nitch@t .
    MOTthere's that .
    MOT*MOT: does that look like a nitch@t ?
    MOTdoes this look like a nitch@t ?
    CHIno .
  6. MOTthere's that .
    MOTdoes that look like a nitch@t ?
    MOT*MOT: does this look like a nitch@t ?
    CHIno .
    CHIthat's a tree .
  7. CHIthat's a tree .
    MOTthat's a tree .
    MOT*MOT: and # is that a nitch@t ?
    CHInope # that's an apple .
    MOTan apple .
  8. CHIda(t)'s an h@l .
    CHIda(t)'s an h@l .
    GLO*GLO: what does a nitch@t do ?
    CHInow I nee(d) me # in a mim@c .
    CHIa nim@c .

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_Brown5.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,572885.09

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. nitch8 · 100.0%