PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (520 utterances, 1,942 words searched).

  1. we were playing with the Duplo , didn't we the other day ? MOT · eng_british_Manchester_II/nic18b.cha, line 114 · Nicole 2;06
  2. you were gonna [: going to] do these books but I made you do the wug tests . INV · eng_british_Manchester_II/nic18b.cha, line 723 · Nicole 2;06
  3. your cheeks were that red they were bordering on purple . MOT · eng_british_Manchester_II/nic18b.cha, line 1410 · Nicole 2;06
  4. your cheeks were that red they were bordering on purple . MOT · eng_british_Manchester_II/nic18b.cha, line 1410 · Nicole 2;06
  5. they were nearly purple . MOT · eng_british_Manchester_II/nic18b.cha, line 1418 · Nicole 2;06
  6. you were that hot and horrible . MOT · eng_british_Manchester_II/nic18b.cha, line 1420 · Nicole 2;06
  1. eng_british_Manchester_II/nic18b.cha, line 114 · Nicole, 2;6.23
    MOTmmhm .
    MOTshall we see what's in Caroline's box ?
    MOT*MOT: we were playing with the Duplo , didn't we the other day ?
    CHIyeah .
    CHIgot here ?
  2. eng_british_Manchester_II/nic18b.cha, line 723 · Nicole, 2;6.23
    INVwhat about these books ?
    CHIno .
    INV*INV: you were gonna [: going to] do these books but I made you do the wug tests .
    MOTare you going to read Caroline your books ?
    CHIno .
  3. eng_british_Manchester_II/nic18b.cha, line 1410 · Nicole, 2;6.23
    MOTthat nasty tooth .
    CHImmhm .
    MOT*MOT: your cheeks were that red they were bordering on purple .
    INVaah .
    MOTwww .
  4. eng_british_Manchester_II/nic18b.cha, line 1418 · Nicole, 2;6.23
    INVaah .
    MOTwww .
    MOT*MOT: they were nearly purple .
    MOTyou were that hot and horrible .
    MOTmmhm .
  5. eng_british_Manchester_II/nic18b.cha, line 1420 · Nicole, 2;6.23
    MOTwww .
    MOTthey were nearly purple .
    MOT*MOT: you were that hot and horrible .
    MOTmmhm .
    MOTare you being my baby ?

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. Nicole eng_british_Manchester_II3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic18b.chaNicole 2;6.231,942563.09

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. were6 · 100.0%