PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

7.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (126 utterances, 392 words searched).

  1. mais Nat ! 1212757_1213635 MOT · french/lyon_nat14a.cha, line 337 · Nathan 1;07
  2. qu'est ce [* 0que] tu fais Nat ? 1325568_1381107 MOT · french/lyon_nat14a.cha, line 376 · Nathan 1;07
  3. Nat ! 1423632_1425972 MOT · french/lyon_nat14a.cha, line 427 · Nathan 1;07
  1. MOTcomment tu fais ? 1157827_1163035
    MOTah mais tu l'as encore mangé ? 1163035_1212757
    MOT*MOT: mais Nat ! 1212757_1213635
    MOTwww [= ! chante] . 1213635_1256528
    MOTdonne moi ce bouchon Nanou . 1256528_1258615
  2. MOTviens voir là Nanou . 1320987_1323312
    MOTbon d'accord . 1323312_1325568
    MOT*MOT: qu'est ce [* 0que] tu fais Nat ? 1325568_1381107
    CHIyyy . 1381107_1384880
    MOTtu joues avec ça . 1384880_1386217
  3. MOTviens !
    MOTwww [= ! sifflements] . 1415910_1423632
    MOT*MOT: Nat ! 1423632_1425972
    CHIyyy . 1425972_1427485
    MOTtu viens mon Nanou . 1427485_1443748

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 french7.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat14a.chaNathan 1;7.8392337.65

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. nat3 · 100.0%