PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (603 utterances, 2,143 words searched).

  1. see if you can turn him round and push him back to me now . MOT · eng_british_Manchester_I/becky09b.cha, line 595 · Becky 2;02
  2. he can get back in . MOT · eng_british_Manchester_I/becky09b.cha, line 764 · Becky 2;02
  3. it's the back that's damaged this time . MOT · eng_british_Manchester_I/becky09b.cha, line 988 · Becky 2;02
  4. shall I mend the back ? MOT · eng_british_Manchester_I/becky09b.cha, line 991 · Becky 2;02
  5. you don't want the trousers back on ? MOT · eng_british_Manchester_I/becky09b.cha, line 1038 · Becky 2;02
  6. you do want them back on ? MOT · eng_british_Manchester_I/becky09b.cha, line 1042 · Becky 2;02
  7. and there's some at the back as well . MOT · eng_british_Manchester_I/becky09b.cha, line 1416 · Becky 2;02
  1. MOTgo on then .
    MOTgo on .
    MOT*MOT: see if you can turn him round and push him back to me now .
    MOTwhoops .
    CHI<cars are> [*] broken .
  2. MOTthere you are .
    MOTit's mended now .
    MOT*MOT: he can get back in .
    MOTxxx .
    MOTgoing to drive off ?
  3. MOTcome on then .
    CHIhere you are .
    MOT*MOT: it's the back that's damaged this time .
    MOTshall I mend the back ?
    CHIyeah .
  4. CHIhere you are .
    MOTit's the back that's damaged this time .
    MOT*MOT: shall I mend the back ?
    CHIyeah .
    MOTthere you are .
  5. CHIwant it back on .
    MOTyou don't want it on ?
    MOT*MOT: you don't want the trousers back on ?
    CHIyes .
    MOTyou do want them back on ?
  6. MOTyou don't want the trousers back on ?
    CHIyes .
    MOT*MOT: you do want them back on ?
    CHIyeah .
    MOThere you are , look .
  7. MOTwhen you switch them on they go all bright like the lights so the car can see where it's going at night .
    CHIsome more .
    MOT*MOT: and there's some at the back as well .
    MOTyes .
    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_I3.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky09b.chaBecky 2;2.302,143773.27

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. back7 · 100.0%