PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

6.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,359 words searched).

  1. see this is how I drink my coffee . MOT · eng_USA_Brown/eve03.cha, line 182 · Eve 1;07
  2. you're going to stand on my toe ? MOT · eng_USA_Brown/eve03.cha, line 245 · Eve 1;07
  3. you stand on my toe . MOT · eng_USA_Brown/eve03.cha, line 260 · Eve 1;07
  4. where's my pencil ? COL · eng_USA_Brown/eve03.cha, line 1213 · Eve 1;07
  5. where's my pencil ? COL · eng_USA_Brown/eve03.cha, line 1221 · Eve 1;07
  6. my pencil ? MOT · eng_USA_Brown/eve03.cha, line 1269 · Eve 1;07
  7. my # you're doing very well . FAT · eng_USA_Brown/eve03.cha, line 1339 · Eve 1;07
  8. my goodness . FAT · eng_USA_Brown/eve03.cha, line 1620 · Eve 1;07
  9. my goodness . FAT · eng_USA_Brown/eve03.cha, line 1626 · Eve 1;07
  1. MOTno # you don't drink grape juice with a spoon .
    MOTyou drink it out of the cup .
    MOT*MOT: see this is how I drink my coffee .
    MOTyou watch .
    CHIdrink coffee .
  2. MOTwhat ?
    CHIxxx toe .
    MOT*MOT: you're going to stand on my toe ?
    CHIyeah .
    MOTwhy ?
  3. MOTwhy ?
    MOToh # okay .
    MOT*MOT: you stand on my toe .
    MOTI can't do it as well as Papa can .
    MOThe has bigger feet .
  4. COLwhere is your pencil ?
    CHIxxx pencil # table .
    COL*COL: where's my pencil ?
    CHIxxx .
    COLwhere's my pencil ?
  5. COLwhere's my pencil ?
    CHIxxx .
    COL*COL: where's my pencil ?
    CHI0 .
    COLwhere's your pencil ?
  6. MOTsay Eve's pencil .
    CHImy pencil .
    MOT*MOT: my pencil ?
    CHIthere .
    MOTwhat's this ?
  7. FATyou're writing with a pencil ?
    FAToh # I'll bet you're helping # aren't you ?
    FAT*FAT: my # you're doing very well .
    CHIhi .
    FAThi .
  8. CHIread .
    FATwell .
    FAT*FAT: my goodness .
    FATwell .
    FATmy goodness .
  9. FATmy goodness .
    FATwell .
    FAT*FAT: my goodness .
    CHIHumm .
    CHIHumm .

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_Brown6.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve03.chaEve 1;7.1,359996.62

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. my9 · 100.0%