PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. you write on the other side of that paper . MOT · eng_USA_Brown/sarah052.cha, line 66 · Sarah 3;03
  2. where's the other Auntie Ellie live ? MOT · eng_USA_Brown/sarah052.cha, line 912 · Sarah 3;03
  3. the other Auntie_Ellie . MOT · eng_USA_Brown/sarah052.cha, line 928 · Sarah 3;03
  4. an(d) # your other uncle . MOT · eng_USA_Brown/sarah052.cha, line 942 · Sarah 3;03
  5. make the other s@l ? KEN · eng_USA_Brown/sarah052.cha, line 1322 · Sarah 3;03
  6. any other color ? KEN · eng_USA_Brown/sarah052.cha, line 1352 · Sarah 3;03
  1. eng_USA_Brown/sarah052.cha, line 66 · Sarah, 3;3.07
    CHIthis one write .
    CHIno # I wan(t) another piece a paper .
    MOT*MOT: you write on the other side of that paper .
    CHIhuh ?
    MOTxxx .
  2. eng_USA_Brown/sarah052.cha, line 912 · Sarah, 3;3.07
    MOTyou got two Auntie Ellies .
    MOThuh ?
    MOT*MOT: where's the other Auntie Ellie live ?
    MOTdo you remember ?
    CHIin the cook+out .
  3. eng_USA_Brown/sarah052.cha, line 928 · Sarah, 3;3.07
    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 .
  4. eng_USA_Brown/sarah052.cha, line 942 · Sarah, 3;3.07
    MOTremember .
    MOTyou see Auntie_George in the store .
    MOT*MOT: an(d) # your other uncle .
    MOTan(d) Auntie_Ellie # Uncle_Walter .
    MOTremember Uncle_Walter ?
  5. eng_USA_Brown/sarah052.cha, line 1322 · Sarah, 3;3.07
    KENthat's s@l .
    CHImake the other s@l .
    KEN*KEN: make the other s@l ?
    KENthe little s@l ?
    KENthe little s@l looks like that .
  6. eng_USA_Brown/sarah052.cha, line 1352 · Sarah, 3;3.07
    CHIhuh ?
    MOTkeep that in there .
    KEN*KEN: any other color ?
    CHIpink # blue # o(r)ange # tha(t)'s orange .
    MOTtha(t)'s red .

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_Brown3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.071,551663.87

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. other6 · 100.0%