PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 1,921 words searched).

  1. I didn't know whether to get off and take a cab or wait a minute until the bus driver came . MOT · eng_USA_Brown/sarah060.cha, line 24 · Sarah 3;05
  2. where'd ya take it from ? MOT · eng_USA_Brown/sarah060.cha, line 137 · Sarah 3;05
  3. I could never take it for more than [/] than that . MOT · eng_USA_Brown/sarah060.cha, line 404 · Sarah 3;05
  4. I'll take my coffee and you eat your cereal . MOT · eng_USA_Brown/sarah060.cha, line 527 · Sarah 3;05
  5. Kent can take it when he goes . MOT · eng_USA_Brown/sarah060.cha, line 774 · Sarah 3;05
  1. eng_USA_Brown/sarah060.cha, line 24 · Sarah, 3;5.01
    MOToh .
    MOT<I was waitin(g)> [//] # I was sittin(g) on the bus then .
    MOT*MOT: I didn't know whether to get off and take a cab or wait a minute until the bus driver came .
    CHIuh .
    CHIhey # Mommy .
  2. eng_USA_Brown/sarah060.cha, line 137 · Sarah, 3;5.01
    CHIon yyy uh # and uh # I took it .
    MOTwhere ?
    MOT*MOT: where'd ya take it from ?
    CHIfrom the yyy .
    CHIso +...
  3. eng_USA_Brown/sarah060.cha, line 404 · Sarah, 3;5.01
    MOTI didn't do too bad .
    MOTglad it only comes once a year .
    MOT*MOT: I could never take it for more than [/] than that .
    CHIMommy # jump out the window .
    MOTxxx .
  4. eng_USA_Brown/sarah060.cha, line 527 · Sarah, 3;5.01
    CHIcan you xxx coffee ?
    MOTyeah .
    MOT*MOT: I'll take my coffee and you eat your cereal .
    MOTalright ?
    CHIwe could put it right on .
  5. eng_USA_Brown/sarah060.cha, line 774 · Sarah, 3;5.01
    MOTdon't open it .
    MOTleave it here now .
    MOT*MOT: Kent can take it when he goes .
    MOThe can give it to Gloria .
    CHIhuh .

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_Brown2.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah060.chaSarah 3;5.011,921552.60

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. take5 · 100.0%