PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (308 utterances, 981 words searched).

  1. attention voilà la terreur . 98590_102552 MOT · french/lyon_nat02a.cha, line 60 · Nathan 1;00
  2. <attention voilà Attila> [= ! rit] . 102552_106397 MOT · french/lyon_nat02a.cha, line 63 · Nathan 1;00
  3. fais attention à ça hein ! MOT · french/lyon_nat02a.cha, line 396 · Nathan 1;00
  1. MOTc'est dur . 73783_98080
    CHIyyy . 98080_98590
    MOT*MOT: attention voilà la terreur . 98590_102552
    MOT<attention voilà Attila> [= ! rit] . 102552_106397
    MOTdis_don(c) toi . 106397_107630
  2. CHIyyy . 98080_98590
    MOTattention voilà la terreur . 98590_102552
    MOT*MOT: <attention voilà Attila> [= ! rit] . 102552_106397
    MOTdis_don(c) toi . 106397_107630
    MOTtu nous laisses faire ? 107630_113818
  3. MOT<tu peux faire mieux> [= ! rit] . 807945_810948
    MOTah . 810948_814685
    MOT*MOT: fais attention à ça hein !
    MOTça , c'est pas +...
    MOTfaudrait pas qu(e) ça traîne ça . 814685_822643

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 french3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat02a.chaNathan 1;0.24981333.06

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. attention3 · 100.0%