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. <a ba [: ben] je> [<] . MOT · french/lyon_mar11b.cha, line 715 · Marie 1;07
  2. non ba [: ben] pas celle ci . 1379590_1382638 MOT · french/lyon_mar11b.cha, line 1445 · Marie 1;07
  3. bon ba [: ben] non non non . MOT · french/lyon_mar11b.cha, line 1463 · Marie 1;07
  1. CHIdonne . 785035_786315
    CHIa ‹moi [>]› . 786315_787640
    MOT*MOT: <a ba [: ben] je> [<] .
    MOT<j(e) le> [//] j'ai envie d(e) le r(e)garder moi . 787640_789798
    CHIwww [= ! cri] .
  2. CHI‹oui [<]› .
    CHIyyy . 1378425_1379590
    MOT*MOT: non ba [: ben] pas celle ci . 1379590_1382638
    MOTon va terminer celle qu'i(l) y a sur la table .
    MOTtiens Marie .
  3. MOTnon [<] ?
    MOTnon non . 1389875_1391903
    MOT*MOT: bon ba [: ben] non non non .
    CHI‹www [= ! grogne]› non éh . 1391900_1398836
    CHItiens . 1401263_1403038

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. ba3 · 100.0%