PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,375 words searched).

  1. that's right . MOT · eng_USA_Brown/sarah051.cha, line 201 · Sarah 3;03
  2. you're right I broke one at dancin(g) school . MOT · eng_USA_Brown/sarah051.cha, line 234 · Sarah 3;03
  3. is that right ? KEN · eng_USA_Brown/sarah051.cha, line 268 · Sarah 3;03
  4. oh # you're right . MOT · eng_USA_Brown/sarah051.cha, line 321 · Sarah 3;03
  5. think that's right ? KEN · eng_USA_Brown/sarah051.cha, line 879 · Sarah 3;03
  6. yeah # that's right . MOT · eng_USA_Brown/sarah051.cha, line 1103 · Sarah 3;03
  7. that's right . MOT · eng_USA_Brown/sarah051.cha, line 1348 · Sarah 3;03
  1. MOToh # one and one ?
    CHItwo .
    MOT*MOT: that's right .
    MOThow much is two and two ?
    CHIoh .
  2. CHIyou go # dancin(g)+school .
    MOToh # <di(d)> [//] yeah I did .
    MOT*MOT: you're right I broke one at dancin(g) school .
    CHIxxx [?] .
    MOT<who's girl are you> [?] ?
  3. CHII show # you .
    KENoh # and hopperoos hop bigger .
    KEN*KEN: is that right ?
    KENoh # could you tell me what the difference is ?
    KENcan Millisandy hop ?
  4. MOTthere isn't any .
    CHI0 .
    MOT*MOT: oh # you're right .
    CHI<this &ha> [//] xxx wha(t) I want .
    CHInot <tha(t) ice+(cr)eam> [/] # tha(t) ice+(cr)eam .
  5. KENso it becomes like soup .
    CHI0 .
    KEN*KEN: think that's right ?
    CHIlook # aah ice+cream .
    MOTum .
  6. MOTChips .
    CHIChips [/] Chips [//] he [//] Thips [: Chips] <wen(t)> [/] wen(t) up your bed .
    MOT*MOT: yeah # that's right .
    MOTChips went up on my bed .
    MOTyeah .
  7. MOTSarah # what color's the stove ?
    CHIwhite .
    MOT*MOT: that's right .
    CHIxxx .
    MOThey # don't write on his paper .

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/sarah051.chaSarah 3;3.071,375775.09

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. right7 · 100.0%