PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (421 utterances, 1,476 words searched).

  1. oh # excuse me . MOT · eng_USA_Brown/sarah012.cha, line 160 · Sarah 2;05
  2. show me . COU · eng_USA_Brown/sarah012.cha, line 582 · Sarah 2;05
  3. <she told> [//] she was telling me yesterday # +"/. COU · eng_USA_Brown/sarah012.cha, line 588 · Sarah 2;05
  1. MOTyou got an orange ?
    MOTyeah # you got oranges too .
    MOT*MOT: oh # excuse me .
    COUbless you .
    MOTo:h .
  2. COUoh .
    COUwhere is it ?
    COU*COU: show me .
    COUoh # you're a big girl # Sarah .
    CHIxxx .
  3. COUoh # you're a big girl # Sarah .
    CHIxxx .
    COU*COU: <she told> [//] she was telling me yesterday # +"/.
    COU+" I got a new tooth .
    COU+" I got a new tooth .

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_Brown2.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah012.chaSarah 2;5.071,476332.03

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. me3 · 100.0%