PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (517 utterances, 1,954 words searched).

  1. can you sing your abc sing ? FAT · eng_USA_Brown/sarah035.cha, line 1510 · Sarah 2;10
  2. can you sing your abc sing ? FAT · eng_USA_Brown/sarah035.cha, line 1510 · Sarah 2;10
  3. I know you sing that song . MOT · eng_USA_Brown/sarah035.cha, line 1598 · Sarah 2;10
  4. who do you sing it with ? FAT · eng_USA_Brown/sarah035.cha, line 1600 · Sarah 2;10
  5. who do you sing it with ? MOT · eng_USA_Brown/sarah035.cha, line 1602 · Sarah 2;10
  1. CHIsee rabbit ?
    MOTyeah .
    FAT*FAT: can you sing your abc sing ?
    FATmusic ?
    CHIabc c@l c@l c@l c@l xxx .
  2. MOTSarah # who sings that song ?
    CHIme !
    MOT*MOT: I know you sing that song .
    FATwho do you sing it with ?
    MOTwho do you sing it with ?
  3. CHIme !
    MOTI know you sing that song .
    FAT*FAT: who do you sing it with ?
    MOTwho do you sing it with ?
    MOThmm ?
  4. MOTI know you sing that song .
    FATwho do you sing it with ?
    MOT*MOT: who do you sing it with ?
    MOThmm ?
    CHIwww .

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_Brown2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah035.chaSarah 2;10.241,954452.56

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. sing5 · 100.0%