PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (348 utterances, 1,551 words searched).

  1. that's the same Auntie_Ellie . MOT · eng_USA_Brown/sarah052.cha, line 926 · Sarah 3;03
  2. the other Auntie_Ellie . MOT · eng_USA_Brown/sarah052.cha, line 928 · Sarah 3;03
  3. Auntie_Ellie up there . MOT · eng_USA_Brown/sarah052.cha, line 932 · Sarah 3;03
  4. an(d) Auntie_Ellie # Uncle_Walter . MOT · eng_USA_Brown/sarah052.cha, line 945 · Sarah 3;03
  1. MOTin the cook+out .
    MOTno # that's the wrong Aunt_Ellie .
    MOT*MOT: that's the same Auntie_Ellie .
    MOTthe other Auntie_Ellie .
    MOTremember that grea(t) bi(g) store ?
  2. MOTno # that's the wrong Aunt_Ellie .
    MOTthat's the same Auntie_Ellie .
    MOT*MOT: the other Auntie_Ellie .
    MOTremember that grea(t) bi(g) store ?
    MOTAuntie_Ellie up there .
  3. MOTthe other Auntie_Ellie .
    MOTremember that grea(t) bi(g) store ?
    MOT*MOT: Auntie_Ellie up there .
    CHIwhat Auntie ?
    MOTAuntie_Barnes .
  4. MOTyou see Auntie_George in the store .
    MOTan(d) # your other uncle .
    MOT*MOT: an(d) Auntie_Ellie # Uncle_Walter .
    MOTremember Uncle_Walter ?
    MOTremember he gave you a nickle ?

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_Brown2.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.071,551442.58

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. auntie_ellie4 · 100.0%