PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (267 utterances, 1,144 words searched).

  1. www [= ! rit] tu vas où ? MOT · french/lyon_ana15a.cha, line 479 · Anais 1;07
  2. vas l(e) chercher ! MOT · french/lyon_ana15a.cha, line 757 · Anais 1;07
  3. et ben vas [//] vas_y . MOT · french/lyon_ana15a.cha, line 851 · Anais 1;07
  1. french/lyon_ana15a.cha, line 479 · Anais, 1;7.25
    MOTattends elle est dans la tente là-bas (..) hop ! 826275_836807
    MOToh oh (..) i(l) marche pas hein . 836807_863180
    MOT*MOT: www [= ! rit] tu vas où ?
    CHIyyy .
    MOTben avance toi .
  2. french/lyon_ana15a.cha, line 757 · Anais, 1;7.25
    MOTben écoute .
    MOTbouge toi .
    MOT*MOT: vas l(e) chercher !
    CHIyyy ah . 1247193_1266607
    MOToui !
  3. french/lyon_ana15a.cha, line 851 · Anais, 1;7.25
    MOTqu'est ce qu'on met ?
    MOTla vache dedans ?
    MOT*MOT: et ben vas [//] vas_y .
    MOTc'est bon ? 1396275_1403803
    CHIyyy .

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 french2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana15a.chaAnais 1;7.251,144332.62

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. vas3 · 100.0%