PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (552 utterances, 2,243 words searched).

  1. do you think Sukie might like some tea ? MOT · eng_british_Manchester_I/becky04a.cha, line 181 · Becky 2;01
  2. cats don't like tea . MOT · eng_british_Manchester_I/becky04a.cha, line 190 · Becky 2;01
  3. do you like sugar , Becky ? MOT · eng_british_Manchester_I/becky04a.cha, line 316 · Becky 2;01
  4. it's like a necklace , isn't it ? MOT · eng_british_Manchester_I/becky04a.cha, line 1127 · Becky 2;01
  5. it's like a necklace now , isn't it ? MOT · eng_british_Manchester_I/becky04a.cha, line 1175 · Becky 2;01
  6. you want to go like that as well . MOT · eng_british_Manchester_I/becky04a.cha, line 1468 · Becky 2;01
  1. eng_british_Manchester_I/becky04a.cha, line 181 · Becky, 2;1.11
    CHISukie_cat .
    CHIaah Claud's .
    MOT*MOT: do you think Sukie might like some tea ?
    CHISukie .
    CHIwant tea ?
  2. eng_british_Manchester_I/becky04a.cha, line 190 · Becky, 2;1.11
    CHIwant tea ?
    MOTI don't think Sukie wants tea , does he ?
    MOT*MOT: cats don't like tea .
    MOThe's all fluffy , isn't he ?
    CHIfluffy tail .
  3. eng_british_Manchester_I/becky04a.cha, line 316 · Becky, 2;1.11
    MOTjust <here> [>] .
    CHIsugar ?
    MOT*MOT: do you like sugar , Becky ?
    CHIyes .
    MOTit's not very good for your teeth , is it ?
  4. eng_british_Manchester_I/becky04a.cha, line 1127 · Becky, 2;1.11
    MOTyou want it as a hattie , do you ?
    MOTit's a bit big for you as a hat .
    MOT*MOT: it's like a necklace , isn't it ?
    MOTwhat is it ?
    CHIuhoh .
  5. eng_british_Manchester_I/becky04a.cha, line 1175 · Becky, 2;1.11
    CHIking [*] crown .
    MOTa king's crown ?
    MOT*MOT: it's like a necklace now , isn't it ?
    MOTis it pretty ?
    CHIking .
  6. eng_british_Manchester_I/becky04a.cha, line 1468 · Becky, 2;1.11
    MOTput it in there .
    MOTno .
    MOT*MOT: you want to go like that as well .
    MOTwhat are you doing ?
    MOTwhat are they ?

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. Becky eng_british_Manchester_I2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky04a.chaBecky 2;1.112,243662.67

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. like6 · 100.0%