PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 2,083 words searched).

  1. that's very handsome . MEL · eng_USA_Brown/sarah124.cha, line 29 · Sarah 4;09
  2. that's the dog's name # isn't it ? MEL · eng_USA_Brown/sarah124.cha, line 232 · Sarah 4;09
  3. that's the line that you made . GAI · eng_USA_Brown/sarah124.cha, line 533 · Sarah 4;09
  4. that's a long word too # isn't it ? MEL · eng_USA_Brown/sarah124.cha, line 577 · Sarah 4;09
  5. that's a big accomplishment # ya know # her r@l e@l d@l . MOT · eng_USA_Brown/sarah124.cha, line 723 · Sarah 4;09
  6. that's right . MEL · eng_USA_Brown/sarah124.cha, line 893 · Sarah 4;09
  1. eng_USA_Brown/sarah124.cha, line 29 · Sarah, 4;9.12
    MELyou do ?
    CHIuhhuh .
    MEL*MEL: that's very handsome .
    CHIsee # it was like this # huh .
    CHInow it's like # this !
  2. eng_USA_Brown/sarah124.cha, line 232 · Sarah, 4;9.12
    CHIhis name is Boofoo .
    MELBoofoo .
    MEL*MEL: that's the dog's name # isn't it ?
    CHIhe got a haircut .
    MOTdid you see his haircut ?
  3. eng_USA_Brown/sarah124.cha, line 533 · Sarah, 4;9.12
    GAIshould we write that too ?
    CHIwhat is that way down thing ?
    GAI*GAI: that's the line that you made .
    CHIoh .
    MOTyou're a winner .
  4. eng_USA_Brown/sarah124.cha, line 577 · Sarah, 4;9.12
    MELa very good job .
    CHInow I know how to spell somethin(g) .
    MEL*MEL: that's a long word too # isn't it ?
    MOTSarah # what was it you were sayin(g) yesterday about your Mother ?
    MOTwhat was it ?
  5. eng_USA_Brown/sarah124.cha, line 723 · Sarah, 4;9.12
    MELoh it is [?] getting red .
    CHIr@l e@l d@l spells red .
    MOT*MOT: that's a big accomplishment # ya know # her r@l e@l d@l .
    MOThow d(o) you spell blue ?
    CHIp@l r@l o@l r@l # no .
  6. eng_USA_Brown/sarah124.cha, line 893 · Sarah, 4;9.12
    MOTyeah .
    GAImmhm .
    MEL*MEL: that's right .
    CHIthey don't have that baby no more .
    MOTbut they have a new one # don't they ?

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_Brown2.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah124.chaSarah 4;9.122,083662.88

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. that's6 · 100.0%