PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (306 utterances, 1,237 words searched).

  1. non . 781946_783516 MOT · french/lyon_mar02b.cha, line 705 · Marie 1;00
  2. non ? 1265678_1267711 MOT · french/lyon_mar02b.cha, line 1076 · Marie 1;00
  3. non ? 1420076_1422596 GER · french/lyon_mar02b.cha, line 1209 · Marie 1;00
  1. french/lyon_mar02b.cha, line 705 · Marie, 1;0.23
    MOTalors (.) t(u) enlèves le poisson rouge aussi ? 775156_781946
    CHIyyy .
    MOT*MOT: non . 781946_783516
    MOTla pelle rouge ? 783466_785436
    MOTah c(el)ui-là il est plus dur .
  2. french/lyon_mar02b.cha, line 1076 · Marie, 1;0.23
    MOTj(e) m'occupe de la poupée alors . 1263068_1265678
    CHIyyy .
    MOT*MOT: non ? 1265678_1267711
    MOTj(e) te la rends ? 1267711_1268833
    MOTtu viens par là ? 1268833_1272586
  3. french/lyon_mar02b.cha, line 1209 · Marie, 1;0.23
    GERtiens , pardon . 1417636_1420076
    GERhop la !
    GER*GER: non ? 1420076_1422596
    GERtiens . 1422596_1423948
    GERvoilà . 1423948_1425638

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. Marie french2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar02b.chaMarie 1;0.231,237332.43

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. non3 · 100.0%