PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 797 words searched).

  1. alors pourquoi tu me dis non . 400045_405247 MOT · french/lyon_nat17b.cha, line 318 · Nathan 1;09
  2. j(e) comprends pas ce que tu veux faire avec alors ! 657908_660738 MOT · french/lyon_nat17b.cha, line 409 · Nathan 1;09
  3. alors tu le ranges toi . 936680_939438 MOT · french/lyon_nat17b.cha, line 538 · Nathan 1;09
  1. MOTça veut dire oui . 397657_399053
    MOTvas_y . 399053_400045
    MOT*MOT: alors pourquoi tu me dis non . 400045_405247
    MOTallez Nanou encore un www [= ! li] autre . 405247_419802
    CHInon . 419802_420775
  2. MOTj(e) comprend pas . 652262_653273
    CHInon . 653273_657908
    MOT*MOT: j(e) comprends pas ce que tu veux faire avec alors ! 657908_660738
    MOTexcuse moi hein . 660738_661763
    CHIyyy . 661763_678415
  3. CHInon . 935610_936038
    MOTsi [/] si . 936038_936680
    MOT*MOT: alors tu le ranges toi . 936680_939438
    CHInon . 939438_940273
    MOTNat ! 940273_941327

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 french3.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17b.chaNathan 1;9.3797333.76

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. alors3 · 100.0%