PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (443 utterances, 1,166 words searched).

  1. (..) allez (.) on lave . 652035_657462 MOT · french/lyon_ana20b.cha, line 1160 · Anais 1;11
  2. (.) allez on lave . 726777_728227 MOT · french/lyon_ana20b.cha, line 1304 · Anais 1;11
  3. voilà , on lave . MOT · french/lyon_ana20b.cha, line 1335 · Anais 1;11
  1. MOTfaut la laver ? 649172_650272
    MOT(.) y a l(e) savon là . 650272_652035
    MOT*MOT: (..) allez (.) on lave . 652035_657462
    CHInon . 657462_658702
    MOTnon . 658702_660260
  2. MOT<ah c'est l'éléphant> [= ! rit] . 723523_724792
    MOTfaut laver l(e) dos . 724792_726777
    MOT*MOT: (.) allez on lave . 726777_728227
    MOTxxx . 728227_729942
    MOTon va la mett(r)e debout: . 729942_731892
  3. CHI+< là .
    MOTouais: . 737760_739380
    MOT*MOT: voilà , on lave .
    MOTbah voilà . 739380_741047
    MOTa pris son bain . 741047_742203

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 french2.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana20b.chaAnais 1;11.111,166332.57

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. lave3 · 100.0%