PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,252 utterances, 5,569 words searched).

  1. we'll come right back down . GLO · eng_USA_Brown/eve17.cha, line 2697 · Eve 2;02
  2. we'll have to save some for Papa . MOT · eng_USA_Brown/eve17.cha, line 2800 · Eve 2;02
  3. we'll have to save some for Papa . MOT · eng_USA_Brown/eve17.cha, line 2808 · Eve 2;02
  4. I don('t) know whether she likes them or not # but we'll try . MOT · eng_USA_Brown/eve17.cha, line 2977 · Eve 2;02
  5. we'll sing that after lunch . MOT · eng_USA_Brown/eve17.cha, line 3183 · Eve 2;02
  6. we'll wash your hands after you're finished . MOT · eng_USA_Brown/eve17.cha, line 3518 · Eve 2;02
  7. now we'll wash your hands . MOT · eng_USA_Brown/eve17.cha, line 3535 · Eve 2;02
  8. we'll cut the pictures after you have your nap . MOT · eng_USA_Brown/eve17.cha, line 4134 · Eve 2;02
  9. we'll read it later . FAT · eng_USA_Brown/eve17.cha, line 4995 · Eve 2;02
  10. we'll read them later . MOT · eng_USA_Brown/eve17.cha, line 5037 · Eve 2;02
  11. no # we'll read it later . MOT · eng_USA_Brown/eve17.cha, line 6094 · Eve 2;02
  12. we'll read it tonight # before you go to bed . MOT · eng_USA_Brown/eve17.cha, line 6097 · Eve 2;02
  13. we'll try another one . COL · eng_USA_Brown/eve17.cha, line 6187 · Eve 2;02
  14. we'll come right back . MOT · eng_USA_Brown/eve17.cha, line 6488 · Eve 2;02
  1. GLOc(o)me on # quick .
    GLOc(o)me on # quick [/] quick .
    GLO*GLO: we'll come right back down .
    GLOxxx till we get back .
    CHIwe [//] I'll be right back .
  2. CHIjust a little [/] little bit .
    CHIjust a little [/] little bit .
    MOT*MOT: we'll have to save some for Papa .
    CHIhmm ?
    MOTwe'll have to save some for Papa .
  3. MOTwe'll have to save some for Papa .
    CHIhmm ?
    MOT*MOT: we'll have to save some for Papa .
    MOTwould you like a bite of lobster salad ?
    CHIno .
  4. CHISarah [/] Sarah have zwieback .
    MOTyes .
    MOT*MOT: I don('t) know whether she likes them or not # but we'll try .
    COLwhat is Sarah having ?
    COLhmm ?
  5. CHISarah [/] Sarah sitting in the shoe shine shop .
    CHIxxx sing # I been working on the railroad .
    MOT*MOT: we'll sing that after lunch .
    MOTwe won't sing it right now .
    CHI&wha what [/] what are you eating ?
  6. CHIuhhuh .
    CHIwe forgot wash my hand .
    MOT*MOT: we'll wash your hands after you're finished .
    MOTyou're still eating your sandwich # aren't you .
    CHIyep .
  7. CHIyep .
    MOTalright .
    MOT*MOT: now we'll wash your hands .
    MOTFraser'd like to know what you did when you went to the beach .
    COLwhat was it [//] what did you do ?
  8. MOTyou want her to play with your ear ?
    CHIwe go cut the pictures .
    MOT*MOT: we'll cut the pictures after you have your nap .
    CHIhmm ?
    MOTafter you have your nap # then you and Papa can cut the pictures .
  9. CHIPapa # you [/] Papa # you want to read it for me ?
    FATwell darling # I have to work right now .
    FAT*FAT: we'll read it later .
    FAThow'll that be ?
    COLEve # you can read the stories to me .
  10. MOTnot right now # sweetheart .
    MOTwe can't read them for you .
    MOT*MOT: we'll read them later .
    MOTdid you show Fraser the pretty pictures you were drawing for me this morning ?
    MOThe'd like to see them .
  11. COL0 .
    CHIyou have to read it for me .
    MOT*MOT: no # we'll read it later .
    MOTwe'll read it tonight # before you go to bed .
    CHIFraser will read it .
  12. CHIyou have to read it for me .
    MOTno # we'll read it later .
    MOT*MOT: we'll read it tonight # before you go to bed .
    CHIFraser will read it .
    COLI [/] I could probably read one or two .
  13. CHIalright .
    COLokay .
    COL*COL: we'll try another one .
    CHIthere was A_little_lady_was_sitting_in_the_apple_tree and Pat_a_cake_bakers_man_have_you_any_wool ?
    COLno # it's Baa_baa_black_sheep .
  14. MOTokay .
    MOTleave your spoon on the train .
    MOT*MOT: we'll come right back .
    CHII be right back .
    COLvery good .

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. Eve eng_USA_Brown2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve17.chaEve 2;2.5,56914142.51

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. we'll14 · 100.0%