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. that's when ya starve . MOT · eng_USA_Brown/sarah051.cha, line 377 · Sarah 3;03
  3. think that's right ? KEN · eng_USA_Brown/sarah051.cha, line 879 · Sarah 3;03
  4. no # that's the dog's name . MOT · eng_USA_Brown/sarah051.cha, line 1013 · Sarah 3;03
  5. yeah # that's right . MOT · eng_USA_Brown/sarah051.cha, line 1103 · Sarah 3;03
  6. that's right . MOT · eng_USA_Brown/sarah051.cha, line 1348 · Sarah 3;03
  7. that's not nice . MOT · eng_USA_Brown/sarah051.cha, line 1394 · Sarah 3;03
  1. eng_USA_Brown/sarah051.cha, line 201 · Sarah, 3;3.07
    MOToh # one and one ?
    CHItwo .
    MOT*MOT: that's right .
    MOThow much is two and two ?
    CHIoh .
  2. eng_USA_Brown/sarah051.cha, line 377 · Sarah, 3;3.07
    CHIuh .
    CHI# three .
    MOT*MOT: that's when ya starve .
    CHIxxx .
    CHIxxx # I wan(t) si(t) down .
  3. eng_USA_Brown/sarah051.cha, line 879 · Sarah, 3;3.07
    KENso it becomes like soup .
    CHI0 .
    KEN*KEN: think that's right ?
    CHIlook # aah ice+cream .
    MOTum .
  4. eng_USA_Brown/sarah051.cha, line 1013 · Sarah, 3;3.07
    MOTwhat's the kitty's name ?
    CHITippy .
    MOT*MOT: no # that's the dog's name .
    MOTthe dog's name is Tippy .
    MOTwhat's the kitty's name ?
  5. eng_USA_Brown/sarah051.cha, line 1103 · Sarah, 3;3.07
    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 .
  6. eng_USA_Brown/sarah051.cha, line 1348 · Sarah, 3;3.07
    MOTSarah # what color's the stove ?
    CHIwhite .
    MOT*MOT: that's right .
    CHIxxx .
    MOThey # don't write on his paper .
  7. eng_USA_Brown/sarah051.cha, line 1394 · Sarah, 3;3.07
    MOTSarah .
    MOTSarah .
    MOT*MOT: that's not nice .
    CHIwhy ?
    KENdo you want to have your own piece of paper to scribble on ?

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. that's7 · 100.0%