PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

5.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (201 utterances, 692 words searched).

  1. that's your dress I have to iron . MOT · eng_USA_Brown/sarah022.cha, line 549 · Sarah 2;07
  2. that's what I got . MOT · eng_USA_Brown/sarah022.cha, line 552 · Sarah 2;07
  3. that's enough # come on . MOT · eng_USA_Brown/sarah022.cha, line 832 · Sarah 2;07
  4. that's tooth paste up there # yeah . MOT · eng_USA_Brown/sarah022.cha, line 863 · Sarah 2;07
  1. CHIleave on .
    CHIxxx .
    MOT*MOT: that's your dress I have to iron .
    MOTthat's what I got .
    CHIo:h .
  2. CHIxxx .
    MOTthat's your dress I have to iron .
    MOT*MOT: that's what I got .
    CHIo:h .
    CHIwhere ?
  3. MOTgo ahead .
    MOTno # Michael !
    MOT*MOT: that's enough # come on .
    CHIhere my doggie xxx .
    CHImy doggie xxx .
  4. MOThuh ?
    CHItooth+paste up +...
    MOT*MOT: that's tooth paste up there # yeah .
    MOTwho put the tooth paste up there ?
    MOThuh ?

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_Brown5.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah022.chaSarah 2;7.18692445.78

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's4 · 100.0%