PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,183 words searched).

  1. tu vas le prendre ? 135958_137033 MOT · french/lyon_ana10a.cha, line 199 · Anais 1;05
  2. tu vas le prendre ? 1016701_1017758 MOT · french/lyon_ana10a.cha, line 994 · Anais 1;05
  3. Ana tu va prendre la poupée ? 1402995_1405233 MOT · french/lyon_ana10a.cha, line 1494 · Anais 1;05
  1. CHI<mon dada> [<] .
    MOTéh ba@i va l(e) chercher l(e) cheval .
    MOT*MOT: tu vas le prendre ? 135958_137033
    CHIlà . 137033_139386
    MOToui il est là .
  2. MOTlà ? 1012915_1014463
    MOTallez viens on va l(e) chercher .
    MOT*MOT: tu vas le prendre ? 1016701_1017758
    MOTvas_y . 1017758_1019798
    MOTprend le sac de Chlo et p(u)is tu vas le mettre dans l(e) camion . 1019795_1021980
  3. CHIah . 1394198_1397138
    MOTi(l) marche encore son micro ? 1397138_1398823
    MOT*MOT: Ana tu va prendre la poupée ? 1402995_1405233
    GERoh là ! 1406995_1407981
    MOTou là !

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 french2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana10a.chaAnais 1;5.31,183332.54

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. prendre3 · 100.0%