PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,215 words searched).

  1. what would ya do with it ? MOT · eng_USA_Brown/sarah053.cha, line 405 · Sarah 3;03
  2. what would you do with it if ya had it ? MOT · eng_USA_Brown/sarah053.cha, line 410 · Sarah 3;03
  3. what would you do ? MOT · eng_USA_Brown/sarah053.cha, line 413 · Sarah 3;03
  4. now who would ya buy that fo(r) ? MOT · eng_USA_Brown/sarah053.cha, line 765 · Sarah 3;03
  5. who would ya buy that for ? MOT · eng_USA_Brown/sarah053.cha, line 769 · Sarah 3;03
  1. CHIo:h # ge(t) one o(f) dose .
    CHIge(t) one o(f) dose .
    MOT*MOT: what would ya do with it ?
    CHIuh .
    MOTwhat would you do with it if ya had it ?
  2. MOTwhat would ya do with it ?
    CHIuh .
    MOT*MOT: what would you do with it if ya had it ?
    MOTwhat would you do ?
    CHIput it right there .
  3. CHIuh .
    MOTwhat would you do with it if ya had it ?
    MOT*MOT: what would you do ?
    CHIput it right there .
    MOTput it down there ?
  4. MOTfor who +...
    CHIxxx .
    MOT*MOT: now who would ya buy that fo(r) ?
    CHIdat li(tt)le thing .
    MOTwho would ya buy that for ?
  5. MOTnow who would ya buy that fo(r) ?
    CHIdat li(tt)le thing .
    MOT*MOT: who would ya buy that for ?
    CHIum .
    CHIum mmhm hmm # fo(r) trucks .

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_Brown4.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah053.chaSarah 3;3.131,215554.12

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. would5 · 100.0%