PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (445 utterances, 1,394 words searched).

  1. c'est beau hein . 815588_816682 MOT · french/lyon_ana26b.cha, line 2112 · Anais 2;03
  2. le beau bébé ? 1007600_1008918 MOT · french/lyon_ana26b.cha, line 2750 · Anais 2;03
  3. c'est l(e) beau bébé d(e) la maman ? 1011620_1012662 MOT · french/lyon_ana26b.cha, line 2763 · Anais 2;03
  1. CHItiens ! 813900_815588
    CHImon bébé .
    MOT*MOT: c'est beau hein . 815588_816682
    CHIoui . 816682_816982
    MOTmh . 816982_817487
  2. CHIbeau ‹yyy [//]› ‹bébé [?]› maman . 1005742_1007600
    MOTwww [= ! rit] .
    MOT*MOT: le beau bébé ? 1007600_1008918
    CHI+< beau bébé .
    CHIyyy . 1008918_1010002
  3. CHIyyy . 1008918_1010002
    CHIbeau bébé yyy maman . 1010002_1011620
    MOT*MOT: c'est l(e) beau bébé d(e) la maman ? 1011620_1012662
    CHIoui . 1012662_1013617
    CHI<i(l) mange> [?] ça maman . 1013617_1015862

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. Anais french2.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana26b.chaAnais 2;3.91,394332.15

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. beau3 · 100.0%