PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

9.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. Sarah # how are you today ? MOT · eng_USA_Brown/sarah020.cha, line 353 · Sarah 2;07
  2. are you sure ? MOT · eng_USA_Brown/sarah020.cha, line 359 · Sarah 2;07
  3. +" are you sure ? MOT · eng_USA_Brown/sarah020.cha, line 365 · Sarah 2;07
  4. are you tired ? MOT · eng_USA_Brown/sarah020.cha, line 638 · Sarah 2;07
  5. are you sure ? MOT · eng_USA_Brown/sarah020.cha, line 754 · Sarah 2;07
  6. your fingers are right here . MOT · eng_USA_Brown/sarah020.cha, line 1023 · Sarah 2;07
  7. why # I think you are getting a new teeth there . MOT · eng_USA_Brown/sarah020.cha, line 1108 · Sarah 2;07
  8. how are you today ? MOT · eng_USA_Brown/sarah020.cha, line 1115 · Sarah 2;07
  9. are you sure ? MOT · eng_USA_Brown/sarah020.cha, line 1252 · Sarah 2;07
  10. now what are you doin(g) ? MOT · eng_USA_Brown/sarah020.cha, line 1304 · Sarah 2;07
  11. are you sure ? MOT · eng_USA_Brown/sarah020.cha, line 1326 · Sarah 2;07
  12. oh # what # oh # the dogs are all gone . MOT · eng_USA_Brown/sarah020.cha, line 1341 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 353 · Sarah, 2;7.05
    MOTbe nice .
    CHI0 .
    MOT*MOT: Sarah # how are you today ?
    CHIp(rett)y good .
    MOTpretty good ?
  2. eng_USA_Brown/sarah020.cha, line 359 · Sarah, 2;7.05
    CHIp(rett)y good .
    MOTpretty good ?
    MOT*MOT: are you sure ?
    CHIwhat ?
    MOTI said # +"/.
  3. eng_USA_Brown/sarah020.cha, line 365 · Sarah, 2;7.05
    CHIwhat ?
    MOTI said # +"/.
    MOT*MOT: +" are you sure ?
    CHIxxx .
    MOThuh ?
  4. eng_USA_Brown/sarah020.cha, line 638 · Sarah, 2;7.05
    MOTyeah .
    CHIxxx here .
    MOT*MOT: are you tired ?
    CHIno .
    MOTthis your new book ?
  5. eng_USA_Brown/sarah020.cha, line 754 · Sarah, 2;7.05
    MOTalright ?
    CHIalright .
    MOT*MOT: are you sure ?
    CHII sure .
    CHIa ribbon hat .
  6. eng_USA_Brown/sarah020.cha, line 1023 · Sarah, 2;7.05
    MOThmm ?
    CHIwhere fingers ?
    MOT*MOT: your fingers are right here .
    CHITony_Pony fingers .
    MOTTony [/] # Tony don't have any fingers .
  7. eng_USA_Brown/sarah020.cha, line 1108 · Sarah, 2;7.05
    MOTwhere ?
    MOTopen up your mouth big .
    MOT*MOT: why # I think you are getting a new teeth there .
    MOTyeah .
    MOToh+boy !
  8. eng_USA_Brown/sarah020.cha, line 1115 · Sarah, 2;7.05
    MOTyeah .
    MOToh+boy !
    MOT*MOT: how are you today ?
    CHIp(rett)y good .
    MOTpretty good # huh .
  9. eng_USA_Brown/sarah020.cha, line 1252 · Sarah, 2;7.05
    MOTyou fall down !
    CHIyou nice .
    MOT*MOT: are you sure ?
    CHII sure .
    MOTpoor baby .
  10. eng_USA_Brown/sarah020.cha, line 1304 · Sarah, 2;7.05
    CHIdere my room .
    CHIxxx .
    MOT*MOT: now what are you doin(g) ?
    JOAthere .
    CHI0 .
  11. eng_USA_Brown/sarah020.cha, line 1326 · Sarah, 2;7.05
    CHIwho broke dat [?] ?
    MOTthat's a secret .
    MOT*MOT: are you sure ?
    CHII sure .
    MOToh .
  12. eng_USA_Brown/sarah020.cha, line 1341 · Sarah, 2;7.05
    MOTcan't you ever say yes ?
    CHIwhere dog ?
    MOT*MOT: oh # what # oh # the dogs are all gone .
    MOTthey're gone in the house to have their supper .
    CHIwhere .

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_Brown9.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,23612129.71

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. are12 · 100.0%