PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 1,562 words searched).

  1. Jimmy Thomas ? MEL · eng_USA_Brown/sarah095.cha, line 71 · Sarah 4;02
  2. no # Danny Thomas . MOT · eng_USA_Brown/sarah095.cha, line 82 · Sarah 4;02
  3. Sarah # I'll put Danny Thomas in your room . MOT · eng_USA_Brown/sarah095.cha, line 178 · Sarah 4;02
  4. it's a short name # like Tommy # instead of Thomas . MEL · eng_USA_Brown/sarah095.cha, line 516 · Sarah 4;02
  1. eng_USA_Brown/sarah095.cha, line 71 · Sarah, 4;2.09
    MELwhat ?
    CHIDimmy Thomas .
    MEL*MEL: Jimmy Thomas ?
    CHIDanny [!!] Thomas [!!] .
    MELwhatie ?
  2. eng_USA_Brown/sarah095.cha, line 82 · Sarah, 4;2.09
    CHIDammy Thomas .
    MELDammy # oh .
    MOT*MOT: no # Danny Thomas .
    MELtell me again .
    MELsay it again .
  3. eng_USA_Brown/sarah095.cha, line 178 · Sarah, 4;2.09
    CHII can get that too .
    MOTwell # let's get Danny out o(f) here # huh ?
    MOT*MOT: Sarah # I'll put Danny Thomas in your room .
    FAT0 .
    CHII wanna pour it .
  4. eng_USA_Brown/sarah095.cha, line 516 · Sarah, 4;2.09
    MELd(o) you know what a nickname is ?
    CHI0 .
    MEL*MEL: it's a short name # like Tommy # instead of Thomas .
    CHInah .
    MELyou could call him Dan # instead of Danny .

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_Brown2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah095.chaSarah 4;2.091,562442.56

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. thomas4 · 100.0%