PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,836 words searched).

  1. all of them ? MOT · eng_british_Manchester_II/nic32a.cha, line 489 · Nicole 2;11
  2. all of them . MOT · eng_british_Manchester_II/nic32a.cha, line 497 · Nicole 2;11
  3. <can you count> [/] can you count the pieces are you're cutting them ? MOT · eng_british_Manchester_II/nic32a.cha, line 710 · Nicole 2;11
  4. because you've squashed them down together . MOT · eng_british_Manchester_II/nic32a.cha, line 784 · Nicole 2;11
  5. are you going to put them together ? MOT · eng_british_Manchester_II/nic32a.cha, line 843 · Nicole 2;11
  6. you're going to put them where ? MOT · eng_british_Manchester_II/nic32a.cha, line 902 · Nicole 2;11
  1. eng_british_Manchester_II/nic32a.cha, line 489 · Nicole, 2;11.18
    MOTwhat could come down off the wall ?
    CHIum my paintings .
    MOT*MOT: all of them ?
    CHIyeah .
    MOTright .
  2. eng_british_Manchester_II/nic32a.cha, line 497 · Nicole, 2;11.18
    MOTright .
    CHIall of them .
    MOT*MOT: all of them .
    CHIand xxx .
    MOTpardon ?
  3. eng_british_Manchester_II/nic32a.cha, line 710 · Nicole, 2;11.18
    CHInow .
    MOTcan you cut your sausage up ?
    MOT*MOT: <can you count> [/] can you count the pieces are you're cutting them ?
    MOTone .
    CHIone .
  4. eng_british_Manchester_II/nic32a.cha, line 784 · Nicole, 2;11.18
    MOTyou [//] with you doing that , look .
    MOTyou've made those two one , haven't you ?
    MOT*MOT: because you've squashed them down together .
    MOTthey were two pieces .
    MOTnow .
  5. eng_british_Manchester_II/nic32a.cha, line 843 · Nicole, 2;11.18
    CHII want sausage .
    CHImine in yours .
    MOT*MOT: are you going to put them together ?
    CHIthere .
    MOTmmhm .
  6. eng_british_Manchester_II/nic32a.cha, line 902 · Nicole, 2;11.18
    MOTmmhm .
    CHI+, in [/] in my oven .
    MOT*MOT: you're going to put them where ?
    CHIin my oven in a minute .
    MOTyour oven ?

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_II3.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32a.chaNicole 2;11.181,836663.27

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. them6 · 100.0%