PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (348 utterances, 1,551 words searched).

  1. ya put it on too hard # that's why . MOT · eng_USA_Brown/sarah052.cha, line 16 · Sarah 3;03
  2. yeah # that's where ya got your stitches . MOT · eng_USA_Brown/sarah052.cha, line 396 · Sarah 3;03
  3. no # that's the wrong Aunt_Ellie . MOT · eng_USA_Brown/sarah052.cha, line 924 · Sarah 3;03
  4. that's the same Auntie_Ellie . MOT · eng_USA_Brown/sarah052.cha, line 926 · Sarah 3;03
  5. oh # that's what I thought . MOT · eng_USA_Brown/sarah052.cha, line 969 · Sarah 3;03
  6. do you know what that's a picture of ? KEN · eng_USA_Brown/sarah052.cha, line 1237 · Sarah 3;03
  7. that's all ya think of is Kelloggs . MOT · eng_USA_Brown/sarah052.cha, line 1250 · Sarah 3;03
  8. that's # looking down at a fat Mexican . KEN · eng_USA_Brown/sarah052.cha, line 1277 · Sarah 3;03
  9. ya think that's funny ? MOT · eng_USA_Brown/sarah052.cha, line 1284 · Sarah 3;03
  10. that's s@l . KEN · eng_USA_Brown/sarah052.cha, line 1316 · Sarah 3;03
  1. eng_USA_Brown/sarah052.cha, line 16 · Sarah, 3;3.07
    MOTjumpin(g) out o(f) bed and catchin(g) the alarm clock .
    MOTlet me see .
    MOT*MOT: ya put it on too hard # that's why .
    MOTjust put it on easy .
    MOTeasy .
  2. eng_USA_Brown/sarah052.cha, line 396 · Sarah, 3;3.07
    MOTwhich bump ?
    CHIri(ght) here .
    MOT*MOT: yeah # that's where ya got your stitches .
    MOT<you had to go to the &doc> [//] you had to go to the hospital .
    MOThuh ?
  3. eng_USA_Brown/sarah052.cha, line 924 · Sarah, 3;3.07
    CHIin the cook+out .
    MOTin the cook+out .
    MOT*MOT: no # that's the wrong Aunt_Ellie .
    MOTthat's the same Auntie_Ellie .
    MOTthe other Auntie_Ellie .
  4. eng_USA_Brown/sarah052.cha, line 926 · Sarah, 3;3.07
    MOTin the cook+out .
    MOTno # that's the wrong Aunt_Ellie .
    MOT*MOT: that's the same Auntie_Ellie .
    MOTthe other Auntie_Ellie .
    MOTremember that grea(t) bi(g) store ?
  5. eng_USA_Brown/sarah052.cha, line 969 · Sarah, 3;3.07
    MOTyeah # what the nickle or Uncle_Walter ?
    CHII wan(t) tha(t) nick(le) .
    MOT*MOT: oh # that's what I thought .
    CHIxxx .
    MOT(a)n(d) # who else did ya see at the store that day ?
  6. eng_USA_Brown/sarah052.cha, line 1237 · Sarah, 3;3.07
    KENthere is an o@l .
    KENdo you know what this is ?
    KEN*KEN: do you know what that's a picture of ?
    KENit's a picture of a Fruit Loop .
    CHImake Kelloggs .
  7. eng_USA_Brown/sarah052.cha, line 1250 · Sarah, 3;3.07
    MOTKelloggs .
    MOTKelloggs .
    MOT*MOT: that's all ya think of is Kelloggs .
    MOTyou'd be a good advertisement for them .
    MOThuh ?
  8. eng_USA_Brown/sarah052.cha, line 1277 · Sarah, 3;3.07
    MOTno ?
    CHIwhat's that ?
    KEN*KEN: that's # looking down at a fat Mexican .
    CHIxxx .
    MOTya think that's funny ?
  9. eng_USA_Brown/sarah052.cha, line 1284 · Sarah, 3;3.07
    KENthat's # looking down at a fat Mexican .
    CHIxxx .
    MOT*MOT: ya think that's funny ?
    CHIyeah .
    KENwhat's this ?
  10. eng_USA_Brown/sarah052.cha, line 1316 · Sarah, 3;3.07
    CHIs@l .
    KENit looks like this when you write it .
    KEN*KEN: that's s@l .
    CHImake the other s@l .
    KENmake the other s@l ?

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_Brown6.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.071,55110106.45

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. that's10 · 100.0%