PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,005 words searched).

  1. on va l'enl(e)ver un p(e)tit peu . MOT · french/lyon_mar11b.cha, line 120 · Marie 1;07
  2. on va l'abîmer . MOT · french/lyon_mar11b.cha, line 1363 · Marie 1;07
  3. on va terminer celle qu'i(l) y a sur la table . MOT · french/lyon_mar11b.cha, line 1447 · Marie 1;07
  1. french/lyon_mar11b.cha, line 120 · Marie, 1;7.12
    CHIwww [= ! pleure] . 118825_126071
    MOTattend [/] attend .
    MOT*MOT: on va l'enl(e)ver un p(e)tit peu .
    MOTet puis si tu as froid on le remet . 126070_128998
    MOT(.) hein ? 128758_129238
  2. french/lyon_mar11b.cha, line 1363 · Marie, 1;7.12
    MOTah non !
    MOT(.) <pas comme ça> [/] pas comme ça . 1319140_1321198
    MOT*MOT: on va l'abîmer .
    MOT(.) tu dis merci Marie ?
    MOT(.) merci . 1325318_1327158
  3. french/lyon_mar11b.cha, line 1447 · Marie, 1;7.12
    CHIyyy . 1378425_1379590
    MOTnon ba [: ben] pas celle ci . 1379590_1382638
    MOT*MOT: on va terminer celle qu'i(l) y a sur la table .
    MOTtiens Marie .
    CHInon non non non non ‹non [>]› . 1387638_1389878

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 french2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar11b.chaMarie 1;7.121,005332.99

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. va3 · 100.0%