PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

6.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (198 utterances, 662 words searched).

  1. you like Richard . MOT · eng_USA_Brown/sarah016.cha, line 807 · Sarah 2;06
  2. you like beer ? GLO · eng_USA_Brown/sarah016.cha, line 881 · Sarah 2;06
  3. you like it ? GLO · eng_USA_Brown/sarah016.cha, line 885 · Sarah 2;06
  4. you like that ? MOT · eng_USA_Brown/sarah016.cha, line 949 · Sarah 2;06
  1. eng_USA_Brown/sarah016.cha, line 807 · Sarah, 2;6.04
    CHIRichard .
    MOTyeah .
    MOT*MOT: you like Richard .
    CHII like Richard .
    MOTxxx .
  2. eng_USA_Brown/sarah016.cha, line 881 · Sarah, 2;6.04
    MOTwhat are you drinking ?
    CHIbeer .
    GLO*GLO: you like beer ?
    CHI0 .
    GLOyou like it ?
  3. eng_USA_Brown/sarah016.cha, line 885 · Sarah, 2;6.04
    GLOyou like beer ?
    CHI0 .
    GLO*GLO: you like it ?
    GLOoh+boy !
    GLOis that good ?
  4. eng_USA_Brown/sarah016.cha, line 949 · Sarah, 2;6.04
    MOTwhee .
    MOTwhee # whee .
    MOT*MOT: you like that ?
    CHII like it .
    CHII like it .

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_Brown6.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah016.chaSarah 2;6.04662446.04

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. like4 · 100.0%