PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (469 utterances, 1,263 words searched).

  1. elle est où la vache ? 150147_157525 MOT · french/lyon_nat20a.cha, line 276 · Nathan 1;11
  2. tu le mets où ? 896590_897472 MOT · french/lyon_nat20a.cha, line 1304 · Nathan 1;11
  3. tu l(e) mets où ? MOT · french/lyon_nat20a.cha, line 1330 · Nathan 1;11
  1. MOThoplà . 145360_147705
    MOTun cochon . 147705_150147
    MOT*MOT: elle est où la vache ? 150147_157525
    CHIest là . 157525_162462
    MOToui elle est là . 162462_164012
  2. MOTd'accord . 893788_895145
    MOTet celui là ? 895145_896590
    MOT*MOT: tu le mets où ? 896590_897472
    CHIyyy ‹là [?]› . 897472_900343
    MOTlà ? 900343_901733
  3. MOTtu veux celui là ? 904182_905388
    CHInon . 905388_906883
    MOT*MOT: tu l(e) mets où ?
    CHIyyy ‹là [?]› . 906883_907763
    MOTnon . 907763_913945

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. Nathan french2.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat20a.chaNathan 1;11.31,263332.38

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. où3 · 100.0%