PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 2,026 words searched).

  1. huh ? MOT · eng_british_Manchester_II/nic06b.cha, line 343 · Nicole 2;02
  2. huh ? MOT · eng_british_Manchester_II/nic06b.cha, line 399 · Nicole 2;02
  3. huh ? MOT · eng_british_Manchester_II/nic06b.cha, line 584 · Nicole 2;02
  4. huh ? MOT · eng_british_Manchester_II/nic06b.cha, line 912 · Nicole 2;02
  5. huh ? MOT · eng_british_Manchester_II/nic06b.cha, line 920 · Nicole 2;02
  6. huh ? MOT · eng_british_Manchester_II/nic06b.cha, line 927 · Nicole 2;02
  7. huh ? MOT · eng_british_Manchester_II/nic06b.cha, line 1180 · Nicole 2;02
  1. eng_british_Manchester_II/nic06b.cha, line 343 · Nicole, 2;2.12
    MOTput [/] put the cushions back .
    MOTshall we see how big we can make a tower ?
    MOT*MOT: huh ?
    CHI&a no way .
    CHINicole want house .
  2. eng_british_Manchester_II/nic06b.cha, line 399 · Nicole, 2;2.12
    MOTare they the builders , Nicole ?
    MOTtell them to get a move on .
    MOT*MOT: huh ?
    MOTwe're going to make a nice house , aren't we ?
    CHIyeah .
  3. eng_british_Manchester_II/nic06b.cha, line 584 · Nicole, 2;2.12
    MOTwilln't he fit ?
    CHIno .
    MOT*MOT: huh ?
    MOTwhere are we going to put the whale ?
    MOToh we've forgotten the elephant .
  4. eng_british_Manchester_II/nic06b.cha, line 912 · Nicole, 2;2.12
    MOTI'm going to make you this elephant .
    INVare you going to have a wash ?
    MOT*MOT: huh ?
    MOTare you going to wash yourself ?
    CHIyeah .
  5. eng_british_Manchester_II/nic06b.cha, line 920 · Nicole, 2;2.12
    CHIyeah .
    MOTdo your dirty knees .
    MOT*MOT: huh ?
    MOTare you going to do your knees ?
    CHIxxx knee .
  6. eng_british_Manchester_II/nic06b.cha, line 927 · Nicole, 2;2.12
    MOTare you going to do your knees ?
    CHIxxx knee .
    MOT*MOT: huh ?
    CHIwater xxx .
    CHIthe tiger now .
  7. eng_british_Manchester_II/nic06b.cha, line 1180 · Nicole, 2;2.12
    MOTher pan and pad .
    MOTher pen and pad back ?
    MOT*MOT: huh ?
    MOTand then me and you will start putting Rachel's toys away ?
    MOTcan you do that ?

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_II3.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic06b.chaNicole 2;2.122,026773.46

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. huh7 · 100.0%