PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

5.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (245 utterances, 1,075 words searched).

  1. there . MOT · eng_USA_Brown/sarah069.cha, line 362 · Sarah 3;07
  2. there . MOT · eng_USA_Brown/sarah069.cha, line 458 · Sarah 3;07
  3. it was there yesterday . MOT · eng_USA_Brown/sarah069.cha, line 692 · Sarah 3;07
  4. there's enough water in there . MOT · eng_USA_Brown/sarah069.cha, line 789 · Sarah 3;07
  5. there's enough water in there . MOT · eng_USA_Brown/sarah069.cha, line 789 · Sarah 3;07
  6. well # ya can't have any water up there (be)cause it will go in her eyes and then ya won't be able to have an… MOT · eng_USA_Brown/sarah069.cha, line 794 · Sarah 3;07
  1. eng_USA_Brown/sarah069.cha, line 362 · Sarah, 3;7.16
    MOThe can't see that far away .
    CHIwrite a name # with the blue pen +...
    MOT*MOT: there .
    MOTnothin(g) else to do .
    CHIMommy # here .
  2. eng_USA_Brown/sarah069.cha, line 458 · Sarah, 3;7.16
    MOThmm ?
    MOTgive xxx a bite .
    MOT*MOT: there .
    MOTbetter give her a permanent .
    CHIyeah .
  3. eng_USA_Brown/sarah069.cha, line 692 · Sarah, 3;7.16
    CHIit's not on my black+board .
    MOTthen I don't know where it was .
    MOT*MOT: it was there yesterday .
    CHIsomebody took # it .
    MOTthat's all I ever hear around here # +"/.
  4. eng_USA_Brown/sarah069.cha, line 789 · Sarah, 3;7.16
    CHIshe not dryin(g) off now .
    CHIgive me some more water now .
    MOT*MOT: there's enough water in there .
    CHIno # I can't dry .
    MOTwell # ya can't have any water up there (be)cause it will go in her eyes and then ya won't be able to have any more dollie .
  5. eng_USA_Brown/sarah069.cha, line 794 · Sarah, 3;7.16
    MOTthere's enough water in there .
    CHIno # I can't dry .
    MOT*MOT: well # ya can't have any water up there (be)cause it will go in her eyes and then ya won't be able to have any more dollie .
    MOTshe'll break .
    CHIshe will go blind ?

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_Brown5.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah069.chaSarah 3;7.161,075565.58

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. there6 · 100.0%