PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,550 words searched).

  1. put it with the red ones then . MOT · eng_british_Manchester_II/nic24b.cha, line 645 · Nicole 2;09
  2. let me open the lid then . MOT · eng_british_Manchester_II/nic24b.cha, line 1133 · Nicole 2;09
  3. ask Caroline if she wants one then please . MOT · eng_british_Manchester_II/nic24b.cha, line 1137 · Nicole 2;09
  4. well then . MOT · eng_british_Manchester_II/nic24b.cha, line 1255 · Nicole 2;09
  5. if you say it was Aunty_Lily then it was Aunty_Lily . MOT · eng_british_Manchester_II/nic24b.cha, line 1263 · Nicole 2;09
  6. go on then . MOT · eng_british_Manchester_II/nic24b.cha, line 1302 · Nicole 2;09
  1. eng_british_Manchester_II/nic24b.cha, line 645 · Nicole, 2;9.03
    CHIthere .
    MOToh .
    MOT*MOT: put it with the red ones then .
    CHIwhere is [*] this go ?
    MOTwww .
  2. eng_british_Manchester_II/nic24b.cha, line 1133 · Nicole, 2;9.03
    CHIthem .
    CHIyes .
    MOT*MOT: let me open the lid then .
    CHIxxx .
    MOTask Caroline if she wants one then please .
  3. eng_british_Manchester_II/nic24b.cha, line 1137 · Nicole, 2;9.03
    MOTlet me open the lid then .
    CHIxxx .
    MOT*MOT: ask Caroline if she wants one then please .
    CHICaroline want some ?
    INVno thank you .
  4. eng_british_Manchester_II/nic24b.cha, line 1255 · Nicole, 2;9.03
    MOTwho ?
    CHIAunty_Lily .
    MOT*MOT: well then .
    MOTwhy're you asking us ?
    CHIAunty_Lily ?
  5. eng_british_Manchester_II/nic24b.cha, line 1263 · Nicole, 2;9.03
    CHIAunty_Lily ?
    MOTI don't know .
    MOT*MOT: if you say it was Aunty_Lily then it was Aunty_Lily .
    CHIwant a mintie ?
    CHIyes or no ?
  6. eng_british_Manchester_II/nic24b.cha, line 1302 · Nicole, 2;9.03
    CHIgone now .
    CHIgone .
    MOT*MOT: go on then .
    CHIxxx .
    CHIgone .

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_II3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic24b.chaNicole 2;9.031,550663.87

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. then6 · 100.0%