PHPCLANCHILDES with regular expressions

12 matches in 10 utterances

10.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. down # and this way # and that way . MOT · eng_USA_Brown/sarah028.cha, line 22 · Sarah 2;09
  2. down # and this way # and that way . MOT · eng_USA_Brown/sarah028.cha, line 22 · Sarah 2;09
  3. you like kittys and doggies ? MOT · eng_USA_Brown/sarah028.cha, line 167 · Sarah 2;09
  4. we'll have to call up Auntie_Marilyn and get this straight # huh . MOT · eng_USA_Brown/sarah028.cha, line 288 · Sarah 2;09
  5. and what's the kitty's name ? MOT · eng_USA_Brown/sarah028.cha, line 310 · Sarah 2;09
  6. and we'll buy pencils too . MOT · eng_USA_Brown/sarah028.cha, line 354 · Sarah 2;09
  7. monkey # and a little boy # and a horsie ! MOT · eng_USA_Brown/sarah028.cha, line 487 · Sarah 2;09
  8. monkey # and a little boy # and a horsie ! MOT · eng_USA_Brown/sarah028.cha, line 487 · Sarah 2;09
  9. yeah # there goes Beaver and Tramp . MOT · eng_USA_Brown/sarah028.cha, line 962 · Sarah 2;09
  10. now go over there and sit down . MOT · eng_USA_Brown/sarah028.cha, line 1286 · Sarah 2;09
  11. sit up in the chair and I'll give it to you . MOT · eng_USA_Brown/sarah028.cha, line 1288 · Sarah 2;09
  12. whyn't [: why don't] you wait and have some for after supper # save some for later ? GLO · eng_USA_Brown/sarah028.cha, line 1435 · Sarah 2;09
  1. eng_USA_Brown/sarah028.cha, line 22 · Sarah, 2;9.06
    MOTlike this # that's a four .
    MOTthere # see # watch .
    MOT*MOT: down # and this way # and that way .
    MOTfour .
    CHIfour ?
  2. eng_USA_Brown/sarah028.cha, line 167 · Sarah, 2;9.06
    CHIyes !
    CHIdat kitty .
    MOT*MOT: you like kittys and doggies ?
    CHI0 .
    MOThuh ?
  3. eng_USA_Brown/sarah028.cha, line 288 · Sarah, 2;9.06
    CHIDawson ?
    CHII make Dawson ?
    MOT*MOT: we'll have to call up Auntie_Marilyn and get this straight # huh .
    CHImmhm .
    MOTI guess we will .
  4. eng_USA_Brown/sarah028.cha, line 310 · Sarah, 2;9.06
    MOThuh ?
    MOTthe doggie's name is Tippy .
    MOT*MOT: and what's the kitty's name ?
    CHITammy .
    MOTTammy ?
  5. eng_USA_Brown/sarah028.cha, line 354 · Sarah, 2;9.06
    MOTyeah .
    CHIxxx pencil ?
    MOT*MOT: and we'll buy pencils too .
    CHItoo ?
    MOTwould you like that ?
  6. eng_USA_Brown/sarah028.cha, line 487 · Sarah, 2;9.06
    CHIlittle boy .
    CHImonkey .
    MOT*MOT: monkey # and a little boy # and a horsie !
    CHIah ?
    CHIgot hands .
  7. eng_USA_Brown/sarah028.cha, line 962 · Sarah, 2;9.06
    CHIhe park here .
    CHIhere Beaver # Beaver .
    MOT*MOT: yeah # there goes Beaver and Tramp .
    CHIright here .
    CHImy doggie in # out .
  8. eng_USA_Brown/sarah028.cha, line 1286 · Sarah, 2;9.06
    CHIhere may am .
    MOThere I am !
    MOT*MOT: now go over there and sit down .
    MOTsit up in the chair and I'll give it to you .
    CHI0 .
  9. eng_USA_Brown/sarah028.cha, line 1288 · Sarah, 2;9.06
    MOThere I am !
    MOTnow go over there and sit down .
    MOT*MOT: sit up in the chair and I'll give it to you .
    CHI0 .
    MOTcream on it ?
  10. eng_USA_Brown/sarah028.cha, line 1435 · Sarah, 2;9.06
    CHII want more .
    GLOyou sure you want more ?
    GLO*GLO: whyn't [: why don't] you wait and have some for after supper # save some for later ?
    CHIno .
    GLOhuh ?

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. Sarah eng_USA_Brown10.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149101210.44

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. and12 · 100.0%