PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (361 utterances, 1,546 words searched).

  1. um # apples are good # huh . MOT · eng_USA_Brown/sarah031.cha, line 202 · Sarah 2;09
  2. um # that's nice # huh . MOT · eng_USA_Brown/sarah031.cha, line 211 · Sarah 2;09
  3. um . MOT · eng_USA_Brown/sarah031.cha, line 355 · Sarah 2;09
  4. um # sounds like <quack@o # quack@o> [/] # quack@o . MOT · eng_USA_Brown/sarah031.cha, line 363 · Sarah 2;09
  5. playing with the ball # um . MOT · eng_USA_Brown/sarah031.cha, line 519 · Sarah 2;09
  6. um # what's he doing here ? MOT · eng_USA_Brown/sarah031.cha, line 554 · Sarah 2;09
  7. um # oh # who's this ? MOT · eng_USA_Brown/sarah031.cha, line 784 · Sarah 2;09
  1. MOTwhat's that ?
    CHIxxx .
    MOT*MOT: um # apples are good # huh .
    CHI0 .
    MOTlook at that boy .
  2. MOTlook at that boy .
    MOThe's learning how to say his abcs # see .
    MOT*MOT: um # that's nice # huh .
    MOTthat's comfortable .
    MOTwhat's that ?
  3. MOTyes # she knows you got it at the circus +...
    CHIbird .
    MOT*MOT: um .
    CHImy bird .
    MOTwhat do birds say ?
  4. MOTwhat do birds say ?
    CHI<quack@o # quack@o> [/] # quack@o .
    MOT*MOT: um # sounds like <quack@o # quack@o> [/] # quack@o .
    COUand what does the birdie do ?
    MOTwhat do you call it # honey ?
  5. MOTwhat's this one doing ?
    CHImmhm # xxx ball .
    MOT*MOT: playing with the ball # um .
    MOToh # look at this baby .
    MOTwhat's she got ?
  6. MOToh # what's he doing here ?
    CHIhe eating .
    MOT*MOT: um # what's he doing here ?
    CHIxxx put feet in .
    MOTyeah # putting his feet in his socks .
  7. MOTthat's a turtle .
    CHIturtle .
    MOT*MOT: um # oh # who's this ?
    CHIteddy+bear .
    MOTteddy+bear .

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_Brown4.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah031.chaSarah 2;9.291,546774.53

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. um7 · 100.0%