PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

24.51 per 1,000 words of the child (CHI), in 1 of 1 transcripts (92 utterances, 204 words searched).

  1. va promener . CHI · french/mtln_thomas27.cha, line 152 · Thomas 2;03
  2. va promener . CHI · french/mtln_thomas27.cha, line 154 · Thomas 2;03
  3. promener celui-là . CHI · french/mtln_thomas27.cha, line 156 · Thomas 2;03
  4. non va pas promener celui-là . CHI · french/mtln_thomas27.cha, line 158 · Thomas 2;03
  5. promener celui-là . CHI · french/mtln_thomas27.cha, line 169 · Thomas 2;03
  1. CHIouais .
    CHInon .
    CHI*CHI: va promener .
    CHIva promener .
    CHIpromener celui-là .
  2. CHInon .
    CHIva promener .
    CHI*CHI: va promener .
    CHIpromener celui-là .
    CHInon va pas promener celui-là .
  3. CHIva promener .
    CHIva promener .
    CHI*CHI: promener celui-là .
    CHInon va pas promener celui-là .
    CHIlà .
  4. CHIva promener .
    CHIpromener celui-là .
    CHI*CHI: non va pas promener celui-là .
    CHIlà .
    CHIgrand lit .
  5. CHIun grand lit .
    CHIun grand lit .
    CHI*CHI: promener celui-là .
    CHIpromène nounours .
    CHIpromène monsieur .

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. Thomas french24.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/mtln_thomas27.chaThomas 2;3.2045524.51

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. promener5 · 100.0%