PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

5.89 per 1,000 words of the child (CHI), in 1 of 1 transcripts (262 utterances, 679 words searched).

  1. hey # dere they are . CHI · eng_USA_Brown/sarah057.cha, line 203 · Sarah 3;04
  2. dere . CHI · eng_USA_Brown/sarah057.cha, line 773 · Sarah 3;04
  3. right dere . CHI · eng_USA_Brown/sarah057.cha, line 775 · Sarah 3;04
  4. xxx go a dere . CHI · eng_USA_Brown/sarah057.cha, line 965 · Sarah 3;04
  1. eng_USA_Brown/sarah057.cha, line 203 · Sarah, 3;4.09
    KENwhat letter is this ?
    CHII make one # dat way # (a)n(d) that way .
    CHI*CHI: hey # dere they are .
    KENI hid them .
    KENwell I found the t@l .
  2. eng_USA_Brown/sarah057.cha, line 773 · Sarah, 3;4.09
    CHIright here .
    CHIxxx .
    CHI*CHI: dere .
    CHIright dere .
    KENwh(a)t do cats look like ?
  3. eng_USA_Brown/sarah057.cha, line 775 · Sarah, 3;4.09
    CHIxxx .
    CHIdere .
    CHI*CHI: right dere .
    KENwh(a)t do cats look like ?
    KENcan you tell me what cats look like ?
  4. eng_USA_Brown/sarah057.cha, line 965 · Sarah, 3;4.09
    MOTwould you like to go to Aunt_Dot's ?
    MOThmm ?
    CHI*CHI: xxx go a dere .
    MOTyeah # would you like to do that ?
    MOT# with Aunt_Dot and Aun(t) xxx ?

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. Sarah eng_USA_Brown5.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.09679445.89

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. dere4 · 100.0%