PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

1.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (436 utterances, 2,236 words searched).

  1. non ah la la si j'ai l(e) nez qui me pique ! MOT · french/lyon_nat31b.cha, line 1016 · Nathan 2;04
  2. <il me pique> [/] il me pique ! 1077087_1079187 MOT · french/lyon_nat31b.cha, line 1020 · Nathan 2;04
  3. <il me pique> [/] il me pique ! 1077087_1079187 MOT · french/lyon_nat31b.cha, line 1020 · Nathan 2;04
  1. MOT<regardez bien à gauche> [= ! chante] .
    MOT<regardez bien à droite> [= ! chante] . 1071017_1077087
    MOT*MOT: non ah la la si j'ai l(e) nez qui me pique !
    MOT<il me pique> [/] il me pique ! 1077087_1079187
    MOT<et sans frontière> [= ! chante] . 1079187_1092555
  2. MOT<regardez bien à droite> [= ! chante] . 1071017_1077087
    MOTnon ah la la si j'ai l(e) nez qui me pique !
    MOT*MOT: <il me pique> [/] il me pique ! 1077087_1079187
    MOT<et sans frontière> [= ! chante] . 1079187_1092555
    JEAouais ouh ouh !

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 french1.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat31b.chaNathan 2;4.262,236231.34

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. me3 · 100.0%