PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

7.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 1,977 words searched).

  1. well I know you did . MOT · eng_british_Manchester_II/ruth22a.cha, line 178 · Ruth 2;06
  2. oh well let me put these socks on and then I'll ask you something else . MOT · eng_british_Manchester_II/ruth22a.cha, line 216 · Ruth 2;06
  3. well how are we gonna [: going to] stick it on her ? MOT · eng_british_Manchester_II/ruth22a.cha, line 701 · Ruth 2;06
  4. oh well I haven't got a name . MOT · eng_british_Manchester_II/ruth22a.cha, line 730 · Ruth 2;06
  5. well look for him then . MOT · eng_british_Manchester_II/ruth22a.cha, line 879 · Ruth 2;06
  6. well <let's find some> [/] let's find something to do it on . MOT · eng_british_Manchester_II/ruth22a.cha, line 992 · Ruth 2;06
  7. well the little white baby's got one . MOT · eng_british_Manchester_II/ruth22a.cha, line 1185 · Ruth 2;06
  8. now you know this one very well . MOT · eng_british_Manchester_II/ruth22a.cha, line 1338 · Ruth 2;06
  9. you know that very very well . MOT · eng_british_Manchester_II/ruth22a.cha, line 1354 · Ruth 2;06
  10. well we've got one that has story . MOT · eng_british_Manchester_II/ruth22a.cha, line 1571 · Ruth 2;06
  11. well they're both the same . MOT · eng_british_Manchester_II/ruth22a.cha, line 1578 · Ruth 2;06
  12. well they're both called the same ones , Ruth . MOT · eng_british_Manchester_II/ruth22a.cha, line 1596 · Ruth 2;06
  13. well where is it ? MOT · eng_british_Manchester_II/ruth22a.cha, line 1691 · Ruth 2;06
  14. well thank you very much . MOT · eng_british_Manchester_II/ruth22a.cha, line 1762 · Ruth 2;06
  15. well what's this here ? MOT · eng_british_Manchester_II/ruth22a.cha, line 1819 · Ruth 2;06
  1. MOTwho des [: does] this , Ruth ?
    CHIme .
    MOT*MOT: well I know you did .
    MOTbut <which which> [/] <which um> [//] is it Fireman +...
    CHI++ Fred .
  2. MOTRobber_Red runs very fast .
    MOTand what does +//.
    MOT*MOT: oh well let me put these socks on and then I'll ask you something else .
    MOTwhat does Kicking_King do ?
    MOTlike that ?
  3. MOToh right .
    CHIhere .
    MOT*MOT: well how are we gonna [: going to] stick it on her ?
    MOTwe need something to stick on her .
    MOTthere .
  4. CHImilk bottle .
    CHIthere 0is [*] the milk .
    MOT*MOT: oh well I haven't got a name .
    MOTI shall have to make one for milk .
    MOTshall I make up one for milk ?
  5. MOTgo and get Bobby then .
    CHIwhere 0is [*] Bobby_Bear ?
    MOT*MOT: well look for him then .
    MOThere .
    MOTthere he is .
  6. MOTdo some for Anna , shall we ?
    MOTright .
    MOT*MOT: well <let's find some> [/] let's find something to do it on .
    MOTsome card .
    CHImmhm .
  7. CHImilk , no .
    CHImilk [/] milk the white baby .
    MOT*MOT: well the little white baby's got one .
    MOTshe's got baby .
    CHImilk white baby .
  8. MOTthat's Bouncy_Ben yeah .
    CHIthere .
    MOT*MOT: now you know this one very well .
    MOTwho's that ?
    CHINaughty_Nick .
  9. MOTRuth .
    MOTyou must look darling .
    MOT*MOT: you know that very very well .
    MOTthis is your favorite character .
    MOTwho's that ?
  10. CHIstory one .
    CHIstory one .
    MOT*MOT: well we've got one that has story .
    MOTthat says story .
    CHIthat story one .
  11. MOTthat says story .
    CHIthat story one .
    MOT*MOT: well they're both the same .
    MOTthey're both a story .
    MOTstory book .
  12. CHIno .
    CHIthat one .
    MOT*MOT: well they're both called the same ones , Ruth .
    CHIthat one .
    MOTstory book .
  13. MOThe did .
    CHIwant me [*] tea set .
    MOT*MOT: well where is it ?
    CHIat Daddy work .
    MOTI don't think Daddy took it to work with him , no .
  14. CHImmhm .
    CHIme pick that up .
    MOT*MOT: well thank you very much .
    MOTthat is very helpful .
    MOTwhat're you doing now ?
  15. CHImmhm .
    MOTright .
    MOT*MOT: well what's this here ?
    CHIxxx .

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_II7.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth22a.chaRuth 2;6.191,97715157.59

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. well15 · 100.0%