PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,054 words searched).

  1. I'm not gonna use it . MOT · eng_USA_Brown/sarah120.cha, line 620 · Sarah 4;08
  2. that's not what you called it the other day . MOT · eng_USA_Brown/sarah120.cha, line 801 · Sarah 4;08
  3. you're cuttin(g) it # not me . MOT · eng_USA_Brown/sarah120.cha, line 845 · Sarah 4;08
  1. eng_USA_Brown/sarah120.cha, line 620 · Sarah, 4;8.07
    FATy(ou) need it ?
    MOTxxx .
    MOT*MOT: I'm not gonna use it .
    CHIa@l .
    CHIwhat does that's begin with ?
  2. eng_USA_Brown/sarah120.cha, line 801 · Sarah, 4;8.07
    FATSarah # what do you call this ?
    CHIa forehead .
    MOT*MOT: that's not what you called it the other day .
    MELwhat did she call it ?
    MOThow did she say that ?
  3. eng_USA_Brown/sarah120.cha, line 845 · Sarah, 4;8.07
    MOTdon't ask me .
    MOTyou're doin(g) +...
    MOT*MOT: you're cuttin(g) it # not me .
    CHII was askin(g) myself # Daddy .
    MOT0 .

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_Brown2.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.071,054332.85

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. not3 · 100.0%