PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (302 utterances, 1,019 words searched).

  1. what's the name of that song ? MOT · eng_USA_Brown/sarah042.cha, line 114 · Sarah 3;00
  2. who taught you that song ? FAT · eng_USA_Brown/sarah042.cha, line 185 · Sarah 3;00
  3. do you like that song ? FAT · eng_USA_Brown/sarah042.cha, line 189 · Sarah 3;00
  1. eng_USA_Brown/sarah042.cha, line 114 · Sarah, 3;0.27
    CHIhush # now don't you cry .
    MOTpretty good .
    MOT*MOT: what's the name of that song ?
    FATtoura@b loura@b loura@b .
    MOTtoura@b # loura@b # loura@b ?
  2. eng_USA_Brown/sarah042.cha, line 185 · Sarah, 3;0.27
    CHItoura@b # loura@b [/] # loura@b .
    CHIhush # now don't you cry .
    FAT*FAT: who taught you that song ?
    CHIyou .
    FATdo you like that song ?
  3. eng_USA_Brown/sarah042.cha, line 189 · Sarah, 3;0.27
    FATwho taught you that song ?
    CHIyou .
    FAT*FAT: do you like that song ?
    FATis the baby gonna say anything ?
    CHItoura@b # loura@b [/] # loura@b .

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_Brown2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah042.chaSarah 3;0.271,019332.94

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. song3 · 100.0%