PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,889 words searched).

  1. I know you didn't have any mask because I thought you were kiddin(g) me . MOT · eng_USA_Brown/sarah099.cha, line 101 · Sarah 4;03
  2. I thought she just got that from the other kids . MOT · eng_USA_Brown/sarah099.cha, line 104 · Sarah 4;03
  3. I just thought of it . MOT · eng_USA_Brown/sarah099.cha, line 460 · Sarah 4;03
  4. I thought it was something about a ghost or a hobo # or something . MOT · eng_USA_Brown/sarah099.cha, line 724 · Sarah 4;03
  5. oh # I thought you were xxx . MOT · eng_USA_Brown/sarah099.cha, line 1139 · Sarah 4;03
  1. eng_USA_Brown/sarah099.cha, line 101 · Sarah, 4;3.07
    MOTMark was playin(g) with the mask # yeah .
    CHIwe didn't have no mask .
    MOT*MOT: I know you didn't have any mask because I thought you were kiddin(g) me .
    MOTI thought she just got that from the other kids .
    MELxxx party ?
  2. eng_USA_Brown/sarah099.cha, line 104 · Sarah, 4;3.07
    CHIwe didn't have no mask .
    MOTI know you didn't have any mask because I thought you were kiddin(g) me .
    MOT*MOT: I thought she just got that from the other kids .
    MELxxx party ?
    MOTshe heard all the other kids talking about they were going to school today in their costumes .
  3. eng_USA_Brown/sarah099.cha, line 460 · Sarah, 4;3.07
    MOTno # this thing +...
    CHIwell # Daddy .
    MOT*MOT: I just thought of it .
    MOTif it's the batteries # we'll have to get em when we go out .
    CHIDaddy # know what ?
  4. eng_USA_Brown/sarah099.cha, line 724 · Sarah, 4;3.07
    CHIAnn_Marie .
    MOTwhat's Ann_Marie ?
    MOT*MOT: I thought it was something about a ghost or a hobo # or something .
    MOTI don't know .
    CHIshe was a hobo .
  5. eng_USA_Brown/sarah099.cha, line 1139 · Sarah, 4;3.07
    CHIMommy .
    FATthat's right .
    MOT*MOT: oh # I thought you were xxx .
    CHIMommy # is it trick or treatin(g) tonight ?
    MOTno # tomorrow night .

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_Brown2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah099.chaSarah 4;3.071,889552.65

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. thought5 · 100.0%