PHPCLANCHILDES with regular expressions

8 matches in 5 utterances

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

  1. it's a short name # like Tommy # instead of Thomas . MEL · eng_USA_Brown/sarah095.cha, line 516 · Sarah 4;02
  2. Tommy +... GAI · eng_USA_Brown/sarah095.cha, line 1320 · Sarah 4;02
  3. Tommy # well # Tommy was born without tonsils # Tommy White . MOT · eng_USA_Brown/sarah095.cha, line 1322 · Sarah 4;02
  4. Tommy # well # Tommy was born without tonsils # Tommy White . MOT · eng_USA_Brown/sarah095.cha, line 1322 · Sarah 4;02
  5. Tommy # well # Tommy was born without tonsils # Tommy White . MOT · eng_USA_Brown/sarah095.cha, line 1322 · Sarah 4;02
  6. what little Tommy # Tommy White ? FAT · eng_USA_Brown/sarah095.cha, line 1327 · Sarah 4;02
  7. what little Tommy # Tommy White ? FAT · eng_USA_Brown/sarah095.cha, line 1327 · Sarah 4;02
  8. Tommy White # not the baby . MOT · eng_USA_Brown/sarah095.cha, line 1329 · Sarah 4;02
  1. 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 .
  2. MOTyeah .
    GAIhe had a double dose .
    GAI*GAI: Tommy +...
    MOTTommy # well # Tommy was born without tonsils # Tommy White .
    MOThe was born without tonsils too .
  3. GAIhe had a double dose .
    GAITommy +...
    MOT*MOT: Tommy # well # Tommy was born without tonsils # Tommy White .
    MOThe was born without tonsils too .
    FATwhat little Tommy # Tommy White ?
  4. MOTTommy # well # Tommy was born without tonsils # Tommy White .
    MOThe was born without tonsils too .
    FAT*FAT: what little Tommy # Tommy White ?
    MOTTommy White # not the baby .
    CHIsometimes you forget .
  5. MOThe was born without tonsils too .
    FATwhat little Tommy # Tommy White ?
    MOT*MOT: Tommy White # not the baby .
    CHIsometimes you forget .
    FATforget what ?

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_Brown5.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah095.chaSarah 4;2.091,562585.12

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. tommy8 · 100.0%