PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. let's go . MOT · eng_USA_Brown/sarah056.cha, line 29 · Sarah 3;04
  2. let's see . GLO · eng_USA_Brown/sarah056.cha, line 136 · Sarah 3;04
  3. <what are you> [//] let's see . GLO · eng_USA_Brown/sarah056.cha, line 138 · Sarah 3;04
  4. let's make a nitch@t . MOT · eng_USA_Brown/sarah056.cha, line 159 · Sarah 3;04
  5. here # let's make an eight # an h@l . GLO · eng_USA_Brown/sarah056.cha, line 228 · Sarah 3;04
  6. uh # let's see if we can find one . MOT · eng_USA_Brown/sarah056.cha, line 584 · Sarah 3;04
  7. well # let's look and see if we can find . GLO · eng_USA_Brown/sarah056.cha, line 606 · Sarah 3;04
  8. alright # let's put it back in the box now . MOT · eng_USA_Brown/sarah056.cha, line 1025 · Sarah 3;04
  9. let's see . MOT · eng_USA_Brown/sarah056.cha, line 1327 · Sarah 3;04
  1. eng_USA_Brown/sarah056.cha, line 29 · Sarah, 3;4.01
    CHIdat um much .
    MOTupsa(daisy) go .
    MOT*MOT: let's go .
    MOToh # wait a minute .
    CHIuh .
  2. eng_USA_Brown/sarah056.cha, line 136 · Sarah, 3;4.01
    MOToh .
    CHIa pincher@c [?] .
    GLO*GLO: let's see .
    GLO<what are you> [//] let's see .
    GLOwhat are you doing ?
  3. eng_USA_Brown/sarah056.cha, line 138 · Sarah, 3;4.01
    CHIa pincher@c [?] .
    GLOlet's see .
    GLO*GLO: <what are you> [//] let's see .
    GLOwhat are you doing ?
    GLOthat looks like a fish +...
  4. 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 ?
  5. 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 .
  6. eng_USA_Brown/sarah056.cha, line 584 · Sarah, 3;4.01
    CHIthere # huh .
    CHInow # make a # yyy # one o(f) those .
    MOT*MOT: uh # let's see if we can find one .
    CHIuh # I fin(d) one .
    CHIhey +...
  7. eng_USA_Brown/sarah056.cha, line 606 · Sarah, 3;4.01
    CHIright there .
    GLOwhich one # honey ?
    GLO*GLO: well # let's look and see if we can find .
    MOTput that down .
    GLOxxx .
  8. eng_USA_Brown/sarah056.cha, line 1025 · Sarah, 3;4.01
    GLOshe'll break it .
    CHII won't .
    MOT*MOT: alright # let's put it back in the box now .
    CHIcan I break somethin(g) # he wa(s)n('t) through with it .
    MOTalright # that's enough .
  9. eng_USA_Brown/sarah056.cha, line 1327 · Sarah, 3;4.01
    MOToh # ya don't want to rip it .
    MOTcome here .
    MOT*MOT: let's see .
    MOTyou have +...
    CHIok .

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_Brown5.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,572995.73

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. let's9 · 100.0%