PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

  1. no # thank+you # Sarah . COU · eng_USA_Brown/sarah038.cha, line 165 · Sarah 2;11
  2. no # thank+you . COU · eng_USA_Brown/sarah038.cha, line 169 · Sarah 2;11
  3. no # thank+you . COU · eng_USA_Brown/sarah038.cha, line 175 · Sarah 2;11
  4. thank+you . MOT · eng_USA_Brown/sarah038.cha, line 502 · Sarah 2;11
  5. thank+you # that's enough . MOT · eng_USA_Brown/sarah038.cha, line 513 · Sarah 2;11
  6. oh # thank+you . MOT · eng_USA_Brown/sarah038.cha, line 787 · Sarah 2;11
  7. oh # thank+you . MOT · eng_USA_Brown/sarah038.cha, line 918 · Sarah 2;11
  1. eng_USA_Brown/sarah038.cha, line 165 · Sarah, 2;11.23
    CHIgot one # Courtney ?
    MOToh # I'm sorry # you wouldn't want a Chocolate_chip cookie # would you ?
    COU*COU: no # thank+you # Sarah .
    CHIhuh ?
    COUno # thank+you .
  2. eng_USA_Brown/sarah038.cha, line 169 · Sarah, 2;11.23
    COUno # thank+you # Sarah .
    CHIhuh ?
    COU*COU: no # thank+you .
    CHIoh .
    CHIyou want one ?
  3. eng_USA_Brown/sarah038.cha, line 175 · Sarah, 2;11.23
    CHIoh .
    CHIyou want one ?
    COU*COU: no # thank+you .
    CHIno ?
    COUwhere did you go this morning ?
  4. eng_USA_Brown/sarah038.cha, line 502 · Sarah, 2;11.23
    CHIhere .
    MOToh .
    MOT*MOT: thank+you .
    MOTit's good # huh ?
    CHIwant more ?
  5. eng_USA_Brown/sarah038.cha, line 513 · Sarah, 2;11.23
    MOTyeah # I'll have some more .
    CHI0 .
    MOT*MOT: thank+you # that's enough .
    MOToh # that's good .
    CHImore ?
  6. eng_USA_Brown/sarah038.cha, line 787 · Sarah, 2;11.23
    CHIoh # dere's a cake .
    MOToh # that the cake ?
    MOT*MOT: oh # thank+you .
    CHIdat you cake .
    MOTwhat color is it ?
  7. eng_USA_Brown/sarah038.cha, line 918 · Sarah, 2;11.23
    CHII don't spill it .
    MOTno # you don't spill it .
    MOT*MOT: oh # thank+you .
    CHIxxx .
    CHII sit dere ?

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_Brown7.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah038.chaSarah 2;11.23985777.11

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. thank+you7 · 100.0%