PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (699 utterances, 2,334 words searched).

  1. now zip her up at the back . MOT · eng_british_Manchester_II/ruth05b.cha, line 344 · Ruth 2;01
  2. do her up at the back . MOT · eng_british_Manchester_II/ruth05b.cha, line 346 · Ruth 2;01
  3. are you back again ? MOT · eng_british_Manchester_II/ruth05b.cha, line 566 · Ruth 2;01
  4. are you back ? MOT · eng_british_Manchester_II/ruth05b.cha, line 570 · Ruth 2;01
  5. is that you back again ? MOT · eng_british_Manchester_II/ruth05b.cha, line 653 · Ruth 2;01
  6. <is that you> [//] <have you> [//] <are you> [/] are you back again ? MOT · eng_british_Manchester_II/ruth05b.cha, line 657 · Ruth 2;01
  7. have you come back ? MOT · eng_british_Manchester_II/ruth05b.cha, line 664 · Ruth 2;01
  8. you'll just have to put hem all back in again . MOT · eng_british_Manchester_II/ruth05b.cha, line 1822 · Ruth 2;01
  1. MOTthere we go .
    MOTthere .
    MOT*MOT: now zip her up at the back .
    MOTdo her up at the back .
    MOToh dear .
  2. MOTthere .
    MOTnow zip her up at the back .
    MOT*MOT: do her up at the back .
    MOToh dear .
    MOTdid you do a big sneeze ?
  3. CHIxxx baba .
    CHIxxx dee@c .
    MOT*MOT: are you back again ?
    CHIdee@c .
    MOTare you back ?
  4. MOTare you back again ?
    CHIdee@c .
    MOT*MOT: are you back ?
    CHIno dee@c .
    MOTdid you have a nice time ?
  5. MOTno .
    MOThave you got everything ?
    MOT*MOT: is that you back again ?
    CHIhuh ?
    MOT<is that you> [//] <have you> [//] <are you> [/] are you back again ?
  6. MOTis that you back again ?
    CHIhuh ?
    MOT*MOT: <is that you> [//] <have you> [//] <are you> [/] are you back again ?
    CHIyeah .
    MOThello .
  7. CHIyeah .
    MOThello .
    MOT*MOT: have you come back ?
    MOTdid you have a nice time ?
    CHImmhm .
  8. CHIhuh ?
    MOTwhat're you doing ?
    MOT*MOT: you'll just have to put hem all back in again .
    CHIhuh ?
    MOTyes you will .

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. Ruth eng_british_Manchester_II3.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth05b.chaRuth 2;1.032,334883.43

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. back8 · 100.0%