PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (421 utterances, 1,476 words searched).

  1. this is a nice book . MOT · eng_USA_Brown/sarah012.cha, line 22 · Sarah 2;05
  2. nice little boy . COU · eng_USA_Brown/sarah012.cha, line 768 · Sarah 2;05
  3. you've got a nice puppy . COU · eng_USA_Brown/sarah012.cha, line 831 · Sarah 2;05
  4. nice kitty . COU · eng_USA_Brown/sarah012.cha, line 913 · Sarah 2;05
  1. eng_USA_Brown/sarah012.cha, line 22 · Sarah, 2;5.07
    CHIcar .
    MOTcar .
    MOT*MOT: this is a nice book .
    CHIbear .
    MOTthat's a doggie .
  2. eng_USA_Brown/sarah012.cha, line 768 · Sarah, 2;5.07
    COUthat's not your ice+cream .
    COUthat's the little boy's ice+cream .
    COU*COU: nice little boy .
    COUlook at that truck .
    CHIyyy dere .
  3. eng_USA_Brown/sarah012.cha, line 831 · Sarah, 2;5.07
    CHImy puppy .
    CHImy puppy .
    COU*COU: you've got a nice puppy .
    COUwhat's your puppy's name ?
    CHIMichael .
  4. eng_USA_Brown/sarah012.cha, line 913 · Sarah, 2;5.07
    COUTeppy is the kitty's name # yeah .
    CHIni(ce) ki(tt)y .
    COU*COU: nice kitty .
    CHIbite me .
    COUoh # did he bite cha ?

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_Brown2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah012.chaSarah 2;5.071,476442.71

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. nice4 · 100.0%