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. +< continu mon Nanou . 250315_252552 MOT · french/lyon_nat14a.cha, line 154 · Nathan 1;07
  2. ça c'est pour toi mon Nanou . 720405_722158 MOT · french/lyon_nat14a.cha, line 259 · Nathan 1;07
  3. tu viens mon Nanou . 1427485_1443748 MOT · french/lyon_nat14a.cha, line 433 · Nathan 1;07
  1. CHI+< yyy . 216762_227227
    CHIyyy <je veux> [?] .
    MOT*MOT: +< continu mon Nanou . 250315_252552
    MOTtu veux le lire aussi . 252552_253450
    MOTben on va se mettre sur le canapé . 253450_254662
  2. CHIyyy . 693082_718450
    MOTtiens . 718450_720405
    MOT*MOT: ça c'est pour toi mon Nanou . 720405_722158
    CHIyyy .
    MOT+< eh eh . 722158_728937
  3. MOTNat ! 1423632_1425972
    CHIyyy . 1425972_1427485
    MOT*MOT: tu viens mon Nanou . 1427485_1443748
    CHIyyy . 1443748_1444690
    MOThein ! 1444690_1446032

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. mon3 · 100.0%