PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

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

  1. comment tu fais ? 1157827_1163035 MOT · french/lyon_nat14a.cha, line 331 · Nathan 1;07
  2. qu'est ce [* 0que] tu fais Nat ? 1325568_1381107 MOT · french/lyon_nat14a.cha, line 376 · Nathan 1;07
  1. CHIyyy . 1126382_1152308
    MOTyyy . 1152308_1157827
    MOT*MOT: comment tu fais ? 1157827_1163035
    MOTah mais tu l'as encore mangé ? 1163035_1212757
    MOTmais Nat ! 1212757_1213635
  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

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 french5.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat14a.chaNathan 1;7.8392225.10

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. fais2 · 100.0%