PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.54 per 1,000 words of the child (CHI), in 1 of 1 transcripts (543 utterances, 1,574 words searched).

  1. Sue forgot have coffee . CHI · eng_USA_Brown/eve10.cha, line 564 · Eve 1;10
  2. that coffee Fraser . CHI · eng_USA_Brown/eve10.cha, line 1800 · Eve 1;10
  3. making coffee Papa . CHI · eng_USA_Brown/eve10.cha, line 3412 · Eve 1;10
  4. that coffee . CHI · eng_USA_Brown/eve10.cha, line 3421 · Eve 1;10
  1. eng_USA_Brown/eve10.cha, line 564 · Eve, 1;10.
    CHIpeeking .
    CHIyou peeking again .
    CHI*CHI: Sue forgot have coffee .
    MOTI'm gonna have coffee in just a minute .
    CHIhi # Fraser hi .
  2. eng_USA_Brown/eve10.cha, line 1800 · Eve, 1;10.
    CHISue have make more grape juice .
    MOTyes # I'll have to make more .
    CHI*CHI: that coffee Fraser .
    COLis that Fraser's coffee # Eve ?
    CHIyep .
  3. eng_USA_Brown/eve10.cha, line 3412 · Eve, 1;10.
    COLit's in there .
    COLsee ?
    CHI*CHI: making coffee Papa .
    MOTI'm making bouillon for Papa .
    MOTwith the bouillon cubes .
  4. eng_USA_Brown/eve10.cha, line 3421 · Eve, 1;10.
    MOTI'm making bouillon for Papa .
    MOTwith the bouillon cubes .
    CHI*CHI: that coffee .
    MOTno # it's bouillon cubes .
    CHIwhere Papa ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Eve eng_USA_Brown2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve10.chaEve 1;10.1,574442.54

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. coffee4 · 100.0%