PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

2.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,466 words searched).

  1. who gave it to you that +... ANN · eng_USA_Brown/sarah097.cha, line 190 · Sarah 4;02
  2. who <gave it to you that> [//] # gave you that ? MOT · eng_USA_Brown/sarah097.cha, line 192 · Sarah 4;02
  3. who <gave it to you that> [//] # gave you that ? MOT · eng_USA_Brown/sarah097.cha, line 192 · Sarah 4;02
  1. eng_USA_Brown/sarah097.cha, line 190 · Sarah, 4;2.23
    MOTno .
    ANNit's a fink+test .
    ANN*ANN: who gave it to you that +...
    MOTwho <gave it to you that> [//] # gave you that ?
    ANNno # you go like this .
  2. eng_USA_Brown/sarah097.cha, line 192 · Sarah, 4;2.23
    ANNit's a fink+test .
    ANNwho gave it to you that +...
    MOT*MOT: who <gave it to you that> [//] # gave you that ?
    ANNno # you go like this .
    MOTyeah # who did it ?

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_Brown2.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah097.chaSarah 4;2.231,466232.05

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. gave3 · 100.0%