PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 975 words searched).

  1. tell Kent about school . MOT · eng_USA_Brown/sarah066.cha, line 190 · Sarah 3;06
  2. Kent doesn't know . MOT · eng_USA_Brown/sarah066.cha, line 194 · Sarah 3;06
  3. tell Kent all about school . MOT · eng_USA_Brown/sarah066.cha, line 208 · Sarah 3;06
  4. Kent doesn't know . MOT · eng_USA_Brown/sarah066.cha, line 214 · Sarah 3;06
  5. oh # did you tell Kent yesterday was was valentine's Day ? MOT · eng_USA_Brown/sarah066.cha, line 577 · Sarah 3;06
  6. oh # Kent's going to be the father . MOT · eng_USA_Brown/sarah066.cha, line 776 · Sarah 3;06
  1. eng_USA_Brown/sarah066.cha, line 190 · Sarah, 3;6.23
    MOTit's like school .
    CHIno # I didn't get a@l .
    MOT*MOT: tell Kent about school .
    MOTabout goin(g) to school .
    MOTKent doesn't know .
  2. eng_USA_Brown/sarah066.cha, line 194 · Sarah, 3;6.23
    MOTtell Kent about school .
    MOTabout goin(g) to school .
    MOT*MOT: Kent doesn't know .
    CHInext to the +...
    MOTgo find the b@l .
  3. eng_USA_Brown/sarah066.cha, line 208 · Sarah, 3;6.23
    MOTwell you have to go from one to the other .
    KENtell me about school .
    MOT*MOT: tell Kent all about school .
    CHIum # I don't think of it .
    MOThmm ?
  4. eng_USA_Brown/sarah066.cha, line 214 · Sarah, 3;6.23
    CHIum # I don't think of it .
    MOThmm ?
    MOT*MOT: Kent doesn't know .
    CHII have crackers # I put toys in the +...
    MOTwhat's your teacher's name ?
  5. eng_USA_Brown/sarah066.cha, line 577 · Sarah, 3;6.23
    CHIfind it .
    MOThey # look what I got .
    MOT*MOT: oh # did you tell Kent yesterday was was valentine's Day ?
    CHIValentine's Day .
    KENwhen ?
  6. eng_USA_Brown/sarah066.cha, line 776 · Sarah, 3;6.23
    MOTwell # who's going to be the father ?
    CHIKent .
    MOT*MOT: oh # Kent's going to be the father .
    CHIyou going be the children .
    MOToh # I'm going to be the children .

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_Brown6.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah066.chaSarah 3;6.23975666.15

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. kent6 · 100.0%