PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (406 utterances, 1,007 words searched).

  1. c'est dans l'aut(r)e sens . GER · french/lyon_ana03b.cha, line 605 · Anais 1;01
  2. dans l'aut(r)e sens . 655472_667353 MOT · french/lyon_ana03b.cha, line 776 · Anais 1;01
  3. dans l'aut(r)e sens . 667353_669235 MOT · french/lyon_ana03b.cha, line 778 · Anais 1;01
  1. GERtu m(e) caches ?
    GERnon . 501943_508973
    GER*GER: c'est dans l'aut(r)e sens .
    GERxxx xxx .
    GERcomme ça . 508973_509570
  2. MOTattends ! 646163_651497
    MOTalors . 651497_655472
    MOT*MOT: dans l'aut(r)e sens . 655472_667353
    MOTdans l'aut(r)e sens . 667353_669235
    MOTouh là . 669235_670553
  3. MOTalors . 651497_655472
    MOTdans l'aut(r)e sens . 655472_667353
    MOT*MOT: dans l'aut(r)e sens . 667353_669235
    MOTouh là . 669235_670553
    MOTcomme ça: . 670553_672717

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 french2.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana03b.chaAnais 1;1.131,007332.98

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. sens3 · 100.0%