PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. no # Danny Thomas . MOT · eng_USA_Brown/sarah095.cha, line 82 · Sarah 4;02
  2. Danny . FAT · eng_USA_Brown/sarah095.cha, line 90 · Sarah 4;02
  3. Danny . MOT · eng_USA_Brown/sarah095.cha, line 92 · Sarah 4;02
  4. well # let's get Danny out o(f) here # huh ? MOT · eng_USA_Brown/sarah095.cha, line 175 · Sarah 4;02
  5. Sarah # I'll put Danny Thomas in your room . MOT · eng_USA_Brown/sarah095.cha, line 178 · Sarah 4;02
  6. you could call him Dan # instead of Danny . MEL · eng_USA_Brown/sarah095.cha, line 522 · Sarah 4;02
  1. 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 .
  2. eng_USA_Brown/sarah095.cha, line 90 · Sarah, 4;2.09
    MELsay it again .
    CHITammy # I mean # Dammy Thomas .
    FAT*FAT: Danny .
    MOTDanny .
    CHIDanny Thomas .
  3. eng_USA_Brown/sarah095.cha, line 92 · Sarah, 4;2.09
    CHITammy # I mean # Dammy Thomas .
    FATDanny .
    MOT*MOT: Danny .
    CHIDanny Thomas .
    MOTyeah # hmm [?] .
  4. eng_USA_Brown/sarah095.cha, line 175 · Sarah, 4;2.09
    CHIpour .
    CHII can get that too .
    MOT*MOT: well # let's get Danny out o(f) here # huh ?
    MOTSarah # I'll put Danny Thomas in your room .
    FAT0 .
  5. 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 .
  6. eng_USA_Brown/sarah095.cha, line 522 · Sarah, 4;2.09
    MELit's a short name # like Tommy # instead of Thomas .
    CHInah .
    MEL*MEL: you could call him Dan # instead of Danny .
    MOTyou had a stop and think # huh ?
    MELSarah's not a name that lends itself to nicknames very much .

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_Brown3.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah095.chaSarah 4;2.091,562663.84

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. danny6 · 100.0%