PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,487 words searched).

  1. and Ann_Marie is sick . MOT · eng_USA_Brown/sarah007.cha, line 1625 · Sarah 2;04
  2. not Ann_Marie # Sandra . MOT · eng_USA_Brown/sarah007.cha, line 1629 · Sarah 2;04
  3. do you see Ann_Marie ? MOT · eng_USA_Brown/sarah007.cha, line 1661 · Sarah 2;04
  4. what's Ann_Marie doing ? MOT · eng_USA_Brown/sarah007.cha, line 1665 · Sarah 2;04
  1. MOTDonna did # yeah .
    CHItwo xxx .
    MOT*MOT: and Ann_Marie is sick .
    CHIsick ?
    MOTnot Ann_Marie # Sandra .
  2. MOTand Ann_Marie is sick .
    CHIsick ?
    MOT*MOT: not Ann_Marie # Sandra .
    CHISandra ?
    MOTyup .
  3. CHInie+nie ?
    MOTyeah .
    MOT*MOT: do you see Ann_Marie ?
    MOThmm ?
    MOTwhat's Ann_Marie doing ?
  4. MOTdo you see Ann_Marie ?
    MOThmm ?
    MOT*MOT: what's Ann_Marie doing ?
    CHIxxx .
    MOThuh ?

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_Brown2.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah007.chaSarah 2;4.101,487442.69

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. ann_marie4 · 100.0%