PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (414 utterances, 1,606 words searched).

  1. you want some # would ya like some Cocoa Puffs ? MOT · eng_USA_Brown/sarah054.cha, line 383 · Sarah 3;03
  2. you want some # would ya like some Cocoa Puffs ? MOT · eng_USA_Brown/sarah054.cha, line 383 · Sarah 3;03
  3. ge(t) some ? MOT · eng_USA_Brown/sarah054.cha, line 769 · Sarah 3;03
  4. ge(t) some ? MOT · eng_USA_Brown/sarah054.cha, line 771 · Sarah 3;03
  5. here # let's put some kleenex . MOT · eng_USA_Brown/sarah054.cha, line 787 · Sarah 3;03
  6. oh # ya got some water in it . MOT · eng_USA_Brown/sarah054.cha, line 1494 · Sarah 3;03
  7. oh # ya got some water in it . MOT · eng_USA_Brown/sarah054.cha, line 1499 · Sarah 3;03
  1. eng_USA_Brown/sarah054.cha, line 383 · Sarah, 3;3.20
    MOToh .
    CHIxxx .
    MOT*MOT: you want some # would ya like some Cocoa Puffs ?
    MOTno ?
    MOTwhat else ?
  2. eng_USA_Brown/sarah054.cha, line 769 · Sarah, 3;3.20
    CHIdon('t) fo(rget) so(me) fo(r) me .
    CHIxxx .
    MOT*MOT: ge(t) some ?
    MOTge(t) some ?
    GLObetter put a diaper on the baby .
  3. eng_USA_Brown/sarah054.cha, line 771 · Sarah, 3;3.20
    CHIxxx .
    MOTge(t) some ?
    MOT*MOT: ge(t) some ?
    GLObetter put a diaper on the baby .
    MOTyou put <it on> [//] a diaper on ?
  4. eng_USA_Brown/sarah054.cha, line 787 · Sarah, 3;3.20
    MOTxxx she go(t) no diaper on ?
    MOTno .
    MOT*MOT: here # let's put some kleenex .
    MOToh # Momma's going to diaper the baby .
    MOTlook at that .
  5. eng_USA_Brown/sarah054.cha, line 1494 · Sarah, 3;3.20
    CHI<&mu> [//] may look it .
    CHIge(t) some mo(r)e water .
    MOT*MOT: oh # ya got some water in it .
    CHIge(t) some mo(r)e water .
    MOToh # ya got some water in it .
  6. eng_USA_Brown/sarah054.cha, line 1499 · Sarah, 3;3.20
    MOToh # ya got some water in it .
    CHIge(t) some mo(r)e water .
    MOT*MOT: oh # ya got some water in it .
    CHIde no(t) plenty water .
    MOThmm ?

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_Brown4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah054.chaSarah 3;3.201,606674.36

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. some7 · 100.0%