PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

5.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (545 utterances, 2,414 words searched).

  1. well you better ask her . MOT · eng_british_Manchester_I/anne10b.cha, line 113 · Anne 2;01
  2. well that's alright then . MOT · eng_british_Manchester_I/anne10b.cha, line 425 · Anne 2;01
  3. well how is she going to get to <the park> [//] the zoo ? MOT · eng_british_Manchester_I/anne10b.cha, line 563 · Anne 2;01
  4. well in a little while you will be able to have some tea ,, willn't you ? MOT · eng_british_Manchester_I/anne10b.cha, line 1049 · Anne 2;01
  5. well you can have some milk in a bit . MOT · eng_british_Manchester_I/anne10b.cha, line 1059 · Anne 2;01
  6. well you can have some milk when it's tea+time . MOT · eng_british_Manchester_I/anne10b.cha, line 1113 · Anne 2;01
  7. well he's perhaps in his house ,, is he ? MOT · eng_british_Manchester_I/anne10b.cha, line 1311 · Anne 2;01
  8. well we'll see him later . MOT · eng_british_Manchester_I/anne10b.cha, line 1443 · Anne 2;01
  9. well we shall have some tea later . MOT · eng_british_Manchester_I/anne10b.cha, line 1604 · Anne 2;01
  10. well we'll perhaps have one after your tea . MOT · eng_british_Manchester_I/anne10b.cha, line 1608 · Anne 2;01
  11. well we're going to have a drink later . MOT · eng_british_Manchester_I/anne10b.cha, line 1644 · Anne 2;01
  12. well I'm sorry but I'm not giving you one until later . MOT · eng_british_Manchester_I/anne10b.cha, line 1653 · Anne 2;01
  13. well later on . MOT · eng_british_Manchester_I/anne10b.cha, line 1662 · Anne 2;01
  1. MOTno Anne wants biscuits ?
    CHIxxx Rachel .
    MOT*MOT: well you better ask her .
    CHIxxx biscuits .
    CHIno thank you .
  2. CHIno .
    MOTno ?
    MOT*MOT: well that's alright then .
    MOTand did we see any pandas last week ?
    CHIyeah .
  3. MOTnow what ?
    MOTplay in here .
    MOT*MOT: well how is she going to get to <the park> [//] the zoo ?
    MOTis she going to get in her car ?
    MOTwho's driving the car ?
  4. MOTyou want some milk ?
    CHIyes .
    MOT*MOT: well in a little while you will be able to have some tea ,, willn't you ?
    CHImilk .
    MOTdid you wake up too early ?
  5. MOTdid you wake up too early ?
    CHImilk .
    MOT*MOT: well you can have some milk in a bit .
    MOTyou don't need any .
    CHImilk .
  6. MOTwhat's that noise for ?
    CHIxxx of milk .
    MOT*MOT: well you can have some milk when it's tea+time .
    MOToh dear now .
    MOTwhat have you done ?
  7. CHIyes .
    MOTyes ?
    MOT*MOT: well he's perhaps in his house ,, is he ?
    CHIballoon .
    CHIlook .
  8. MOThe's gone under the car now .
    CHIsee Soppy_socks .
    MOT*MOT: well we'll see him later .
    MOTwe'll go and see him later ,, shall we ?
    MOTbecause you haven't got any shoes and socks on ,, have you ?
  9. MOTare you sniffly ?
    CHIxxx little lolly xxx .
    MOT*MOT: well we shall have some tea later .
    CHIlittle lolly .
    MOTwell we'll perhaps have one after your tea .
  10. MOTwell we shall have some tea later .
    CHIlittle lolly .
    MOT*MOT: well we'll perhaps have one after your tea .
    MOTwww .
    CHIwant little lolly please .
  11. CHIwant drink .
    MOTyou want a drink .
    MOT*MOT: well we're going to have a drink later .
    MOTyou've had two drinks .
    CHIxxx .
  12. CHIxxx .
    CHIwant a drink .
    MOT*MOT: well I'm sorry but I'm not giving you one until later .
    CHII want milk .
    MOTpardon ?
  13. MOTpardon ?
    CHImilk .
    MOT*MOT: well later on .
    CHIno .
    MOToh don't be such a mardy .

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. Anne eng_british_Manchester_I5.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne10b.chaAnne 2;1.082,41413135.39

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. well13 · 100.0%