PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (302 utterances, 1,019 words searched).

  1. make a s@l ? MOT · eng_USA_Brown/sarah042.cha, line 628 · Sarah 3;00
  2. make your name . MOT · eng_USA_Brown/sarah042.cha, line 645 · Sarah 3;00
  3. you make it . MOT · eng_USA_Brown/sarah042.cha, line 676 · Sarah 3;00
  4. I thought you wanted to make it . MOT · eng_USA_Brown/sarah042.cha, line 680 · Sarah 3;00
  1. eng_USA_Brown/sarah042.cha, line 628 · Sarah, 3;0.27
    CHIxxx .
    CHIMommy # you make a s@l .
    MOT*MOT: make a s@l ?
    MOThere # there's your name .
    CHII write o(ver) here .
  2. eng_USA_Brown/sarah042.cha, line 645 · Sarah, 3;0.27
    MOTc(o)me on .
    MOTsit up here .
    MOT*MOT: make your name .
    MOTlook # see .
    MOTs@l a@l r@l a@l h@l . [+ bch]
  3. eng_USA_Brown/sarah042.cha, line 676 · Sarah, 3;0.27
    MOTyeah # there .
    CHInow you make it .
    MOT*MOT: you make it .
    CHIno # you make it .
    MOTI thought you wanted to make it .
  4. eng_USA_Brown/sarah042.cha, line 680 · Sarah, 3;0.27
    MOTyou make it .
    CHIno # you make it .
    MOT*MOT: I thought you wanted to make it .
    CHIxxx you make it .
    CHIMommy # xxx dat way .

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_Brown3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah042.chaSarah 3;0.271,019443.93

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. make4 · 100.0%