PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (324 utterances, 1,368 words searched).

  1. that's right . KEN · eng_USA_Brown/sarah057.cha, line 242 · Sarah 3;04
  2. that's right . MOT · eng_USA_Brown/sarah057.cha, line 269 · Sarah 3;04
  3. right there . MOT · eng_USA_Brown/sarah057.cha, line 557 · Sarah 3;04
  4. yeah # there he is # right there . MOT · eng_USA_Brown/sarah057.cha, line 601 · Sarah 3;04
  5. oh yeah # that's right you watched (h)im . MOT · eng_USA_Brown/sarah057.cha, line 861 · Sarah 3;04
  1. KENoh # um .
    CHIorange .
    KEN*KEN: that's right .
    CHIum uh # um .
    KENthis is a nine .
  2. MOTwhat letter is this ?
    CHIr@l # I mean an x@l .
    MOT*MOT: that's right .
    MOTyou're a real smart kid # huh ?
    KENcould you take # the x@l off the nine .
  3. MOTya have got a dog .
    MOTya got a dog +...
    MOT*MOT: right there .
    MOTsee ?
    MOTon the floor .
  4. MOThow (a)bout that ?
    CHIthere's a eye .
    MOT*MOT: yeah # there he is # right there .
    MOTxxx made a frog .
    CHIyyy .
  5. CHIuh yeah .
    MOTthat was thanksgivin(g) +...
    MOT*MOT: oh yeah # that's right you watched (h)im .
    MOTdid you see him last week ?
    KEN0 .

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_Brown3.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.091,368553.65

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. right5 · 100.0%