PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (487 utterances, 1,665 words searched).

  1. don't think rabbits have tails like that . MOT · eng_british_Manchester_I/becky24a.cha, line 38 · Becky 2;08
  2. or he can stand up like that ? MOT · eng_british_Manchester_I/becky24a.cha, line 62 · Becky 2;08
  3. it's like a clown's nose , isn't it ? MOT · eng_british_Manchester_I/becky24a.cha, line 1351 · Becky 2;08
  4. like that ? MOT · eng_british_Manchester_I/becky24a.cha, line 1595 · Becky 2;08
  5. like that ? MOT · eng_british_Manchester_I/becky24a.cha, line 1605 · Becky 2;08
  6. like that ? MOT · eng_british_Manchester_I/becky24a.cha, line 1619 · Becky 2;08
  7. like that . MOT · eng_british_Manchester_I/becky24a.cha, line 1639 · Becky 2;08
  8. like this ? MOT · eng_british_Manchester_I/becky24a.cha, line 1675 · Becky 2;08
  9. smells like you have . MOT · eng_british_Manchester_I/becky24a.cha, line 1794 · Becky 2;08
  1. MOT<his tail> [//] look at his tail .
    MOTit's coming off .
    MOT*MOT: don't think rabbits have tails like that .
    CHIyes .
    CHIthey do .
  2. MOTis that how he goes ?
    CHIyeah .
    MOT*MOT: or he can stand up like that ?
    CHIstand up .
    CHIow .
  3. MOTI'll try and get it on .
    CHIis this a clown .
    MOT*MOT: it's like a clown's nose , isn't it ?
    MOTI can't get it to stay on your nose .
    INVyou need some elastic .
  4. MOTover here ?
    CHIyeah .
    MOT*MOT: like that ?
    MOTand I draw +//.
    MOTwhere shall I put the ears ?
  5. MOThere ?
    CHIyeah .
    MOT*MOT: like that ?
    CHIyeah .
    MOTand another one ?
  6. MOTover here ?
    CHIyeah .
    MOT*MOT: like that ?
    CHIand some rings .
    MOTsome what ?
  7. CHIyeah .
    CHIjust like you have got .
    MOT*MOT: like that .
    CHIyeah .
    CHIit's a lady .
  8. MOTin here ?
    CHIyeah .
    MOT*MOT: like this ?
    MOTBecky ?
    CHIyeah .
  9. MOThave you ?
    CHIno .
    MOT*MOT: smells like you have .
    MOTwhat did you have for your lunch ?
    CHIdon't know .

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_I5.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky24a.chaBecky 2;8.021,665995.41

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. like9 · 100.0%