PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

5.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (744 utterances, 2,861 words searched).

  1. would you like to have your lunch now ? MOT · eng_USA_Brown/eve07.cha, line 917 · Eve 1;09
  2. you can have your lunch while Sarah has her milk . MOT · eng_USA_Brown/eve07.cha, line 932 · Eve 1;09
  3. no # you don't have your lunch on the table . MOT · eng_USA_Brown/eve07.cha, line 963 · Eve 1;09
  4. why don't we have lunch ? MOT · eng_USA_Brown/eve07.cha, line 1233 · Eve 1;09
  5. would you like to have some lunch ? MOT · eng_USA_Brown/eve07.cha, line 1529 · Eve 1;09
  6. Eve # would you like a peanut butter sandwich for lunch ? MOT · eng_USA_Brown/eve07.cha, line 3762 · Eve 1;09
  7. it's time for lunch . MOT · eng_USA_Brown/eve07.cha, line 3803 · Eve 1;09
  8. your papa's lunch is not ready . MOT · eng_USA_Brown/eve07.cha, line 3816 · Eve 1;09
  9. just Eve's lunch . MOT · eng_USA_Brown/eve07.cha, line 3820 · Eve 1;09
  10. you go eat your lunch and I'll come over and eat mine . FAT · eng_USA_Brown/eve07.cha, line 3823 · Eve 1;09
  11. we're not have toast for lunch . MOT · eng_USA_Brown/eve07.cha, line 3859 · Eve 1;09
  12. Eve # your lunch is ready . MOT · eng_USA_Brown/eve07.cha, line 3889 · Eve 1;09
  13. what would you like for lunch ? MOT · eng_USA_Brown/eve07.cha, line 3975 · Eve 1;09
  14. have a good lunch . MOT · eng_USA_Brown/eve07.cha, line 4136 · Eve 1;09
  15. are you having a good lunch # Eve ? FAT · eng_USA_Brown/eve07.cha, line 4140 · Eve 1;09
  1. CHIthat ?
    MOTthat's baby Sarah's wet diaper .
    MOT*MOT: would you like to have your lunch now ?
    CHIno .
    MOTwould you ?
  2. MOTwould you ?
    MOTokay we'll get your high chair .
    MOT*MOT: you can have your lunch while Sarah has her milk .
    MOTokay ?
    CHIno .
  3. MOTno .
    CHIeat on table .
    MOT*MOT: no # you don't have your lunch on the table .
    CHIbottle .
    MOTwhat ?
  4. MOTwhy ?
    CHIeating baby Sarah nightie .
    MOT*MOT: why don't we have lunch ?
    CHIdrinking .
    MOTdrinking what ?
  5. MOTwhere're her fingers ?
    MOTwell they're inside her nightie .
    MOT*MOT: would you like to have some lunch ?
    CHIno .
    MOTnoodle soup and tapioca ?
  6. MOTyou can see Eve .
    CHIwanna see Eve .
    MOT*MOT: Eve # would you like a peanut butter sandwich for lunch ?
    CHIno .
    MOTwhat do you want ?
  7. MOTwe're gonna eat in the high chair .
    MOTnow # you had some cheese at the table .
    MOT*MOT: it's time for lunch .
    MOTc(o)me on .
    CHIPapa lunch ready .
  8. CHIPapa lunch ready .
    FATit is ?
    MOT*MOT: your papa's lunch is not ready .
    MOTjust Eve's lunch .
    FATyou go eat your lunch and I'll come over and eat mine .
  9. FATit is ?
    MOTyour papa's lunch is not ready .
    MOT*MOT: just Eve's lunch .
    FATyou go eat your lunch and I'll come over and eat mine .
    FATalright ?
  10. MOTyour papa's lunch is not ready .
    MOTjust Eve's lunch .
    FAT*FAT: you go eat your lunch and I'll come over and eat mine .
    FATalright ?
    MOTwhat ?
  11. CHItoast .
    MOTthere's no toast .
    MOT*MOT: we're not have toast for lunch .
    CHI0 .
    MOTyou sit in your high chair and I'll pour you some milk .
  12. MOTyou climb in your high chair # please .
    CHIwant xxx .
    MOT*MOT: Eve # your lunch is ready .
    MOTI'm going to go in the other room .
    MOTwww .
  13. MOTwould you like some fruit ?
    CHIno .
    MOT*MOT: what would you like for lunch ?
    MOTwhat ?
    CHIice+cream .
  14. MOTjust checking .
    MOTokay .
    MOT*MOT: have a good lunch .
    FATare you having a good lunch # Eve ?
    CHIxxx .
  15. MOTokay .
    MOThave a good lunch .
    FAT*FAT: are you having a good lunch # Eve ?
    CHIxxx .
    FATwhat are you eating ?

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_Brown5.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve07.chaEve 1;9.2,86115155.24

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. lunch15 · 100.0%