PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 1,170 words searched).

  1. were you (a)n(d) Grampy fightin(g) last night ? MOT · eng_USA_Brown/sarah108.cha, line 722 · Sarah 4;05
  2. Nana said <you were> [//] # you locked Grampy out of the car (a)n(d) Grampy started to start the car and you shut t… MOT · eng_USA_Brown/sarah108.cha, line 735 · Sarah 4;05
  3. Nana said <you were> [//] # you locked Grampy out of the car (a)n(d) Grampy started to start the car and you shut the key off . MOT · eng_USA_Brown/sarah108.cha, line 735 · Sarah 4;05
  1. eng_USA_Brown/sarah108.cha, line 722 · Sarah, 4;5.08
    CHI0 .
    MOTyeah # (a)n(d) you were fresh enough last night # I think .
    MOT*MOT: were you (a)n(d) Grampy fightin(g) last night ?
    CHI0 .
    MOTthat's not what Nana said .
  2. eng_USA_Brown/sarah108.cha, line 735 · Sarah, 4;5.08
    MOTthat's not what Nana said .
    CHIwhy ?
    MOT*MOT: Nana said <you were> [//] # you locked Grampy out of the car (a)n(d) Grampy started to start the car and you shut the key off .
    MOToh the two of them !
    MOTone aggravates the other # y(ou) know .

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_Brown2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah108.chaSarah 4;5.081,170232.56

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. grampy3 · 100.0%