PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (302 utterances, 1,019 words searched).

  1. what doll do you like best ? FAT · eng_USA_Brown/sarah042.cha, line 158 · Sarah 3;00
  2. do you like Bugs best ? FAT · eng_USA_Brown/sarah042.cha, line 162 · Sarah 3;00
  3. you like her ? FAT · eng_USA_Brown/sarah042.cha, line 168 · Sarah 3;00
  4. do you like that song ? FAT · eng_USA_Brown/sarah042.cha, line 189 · Sarah 3;00
  5. you'd like that ? MOT · eng_USA_Brown/sarah042.cha, line 592 · Sarah 3;00
  6. you like it don't you ? FAT · eng_USA_Brown/sarah042.cha, line 1164 · Sarah 3;00
  7. like orange+juice ? FAT · eng_USA_Brown/sarah042.cha, line 1170 · Sarah 3;00
  1. eng_USA_Brown/sarah042.cha, line 158 · Sarah, 3;0.27
    FATno .
    FAT<who's &y> [/] who's your favorite doll ?
    FAT*FAT: what doll do you like best ?
    CHIum .
    FATdo you like Bugs best ?
  2. eng_USA_Brown/sarah042.cha, line 162 · Sarah, 3;0.27
    FATwhat doll do you like best ?
    CHIum .
    FAT*FAT: do you like Bugs best ?
    CHIyes .
    CHII like her .
  3. eng_USA_Brown/sarah042.cha, line 168 · Sarah, 3;0.27
    CHIyes .
    CHII like her .
    FAT*FAT: you like her ?
    FATthat was Mommy's doll .
    CHIno # my doll .
  4. eng_USA_Brown/sarah042.cha, line 189 · Sarah, 3;0.27
    FATwho taught you that song ?
    CHIyou .
    FAT*FAT: do you like that song ?
    FATis the baby gonna say anything ?
    CHItoura@b # loura@b [/] # loura@b .
  5. eng_USA_Brown/sarah042.cha, line 592 · Sarah, 3;0.27
    CHIthem .
    MOTyeah ?
    MOT*MOT: you'd like that ?
    MOThuh ?
    MOTyou probably would .
  6. eng_USA_Brown/sarah042.cha, line 1164 · Sarah, 3;0.27
    FATno # you sleep on the floor .
    CHIho !
    FAT*FAT: you like it don't you ?
    CHImmhm .
    FATlike orange+juice ?
  7. eng_USA_Brown/sarah042.cha, line 1170 · Sarah, 3;0.27
    FATyou like it don't you ?
    CHImmhm .
    FAT*FAT: like orange+juice ?
    CHIyeah .
    CHIsome ?

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_Brown6.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah042.chaSarah 3;0.271,019776.87

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. like7 · 100.0%