PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

11.41 per 1,000 words of the child (CHI), in 1 of 1 transcripts (184 utterances, 263 words searched).

  1. (ai)der . CHI · french/lyon_nat36b.cha, line 901 · Nathan 2;07
  2. <ai fait> [//] ai fait bisous papa . 1574308_1583492 CHI · french/lyon_nat36b.cha, line 1469 · Nathan 2;07
  3. <ai fait> [//] ai fait bisous papa . 1574308_1583492 CHI · french/lyon_nat36b.cha, line 1469 · Nathan 2;07
  1. MOTje veux bien Petit_Pas mais il faut m'aider . 752887_756328
    MOToui .
    CHI*CHI: (ai)der .
    MOTtu vas m'apporter +//. 756328_760287
    CHI+< yyy faut .
  2. FATtu dis au_revoir à Nanou ? 1566815_1572788
    FATtu dis au_revoir à Nanou ? 1572788_1574308
    CHI*CHI: <ai fait> [//] ai fait bisous papa . 1574308_1583492
    FATtu fais un bisou à Jea ?
    FATNat ? 1583492_1589147

Matches by age

One dot per transcript: matches per 1,000 words of the child (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 french11.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat36b.chaNathan 2;7.172632311.41

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. ai3 · 100.0%