PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (618 utterances, 2,080 words searched).

  1. get up and get it then . MOT · eng_british_Manchester_I/becky03a.cha, line 517 · Becky 2;00
  2. pick you up ? MOT · eng_british_Manchester_I/becky03a.cha, line 529 · Becky 2;00
  3. and tuck her up ? MOT · eng_british_Manchester_I/becky03a.cha, line 570 · Becky 2;00
  4. do you want to tuck her up ? MOT · eng_british_Manchester_I/becky03a.cha, line 574 · Becky 2;00
  5. up . MOT · eng_british_Manchester_I/becky03a.cha, line 741 · Becky 2;00
  6. up . MOT · eng_british_Manchester_I/becky03a.cha, line 743 · Becky 2;00
  7. up . MOT · eng_british_Manchester_I/becky03a.cha, line 745 · Becky 2;00
  8. up you get now please . MOT · eng_british_Manchester_I/becky03a.cha, line 991 · Becky 2;00
  9. I don't think we want to tip it up , do we ? MOT · eng_british_Manchester_I/becky03a.cha, line 1014 · Becky 2;00
  1. CHIyeah .
    MOTwell .
    MOT*MOT: get up and get it then .
    MOTgo on .
    MOTgo on .
  2. MOTyou lazy thing .
    CHI&a pick up .
    MOT*MOT: pick you up ?
    CHIyeah .
    MOTwww .
  3. MOTdo you think she's tired ?
    MOTdo you want to put her in her bed ?
    MOT*MOT: and tuck her up ?
    MOTyeah ?
    MOTdo you want to tuck her up ?
  4. MOTand tuck her up ?
    MOTyeah ?
    MOT*MOT: do you want to tuck her up ?
    MOTgo on then .
    CHIsocks on .
  5. MOTcouldn't put Humpty together again .
    CHIoh .
    MOT*MOT: up .
    MOTup .
    MOTup .
  6. CHIoh .
    MOTup .
    MOT*MOT: up .
    MOTup .
    CHIxxx .
  7. MOTup .
    MOTup .
    MOT*MOT: up .
    CHIxxx .
    MOTyou're a one , aren't you ?
  8. MOTyou'll poke Mummy's eye .
    MOToh .
    MOT*MOT: up you get now please .
    CHItoys .
    CHItoys .
  9. CHIum # tip up .
    MOTno .
    MOT*MOT: I don't think we want to tip it up , do we ?
    MOTyou have a rummage and see what you can find .
    MOTwho's in there ?

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_I4.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky03a.chaBecky 2;0.282,080994.33

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. up9 · 100.0%