PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (164 utterances, 790 words searched).

  1. les chats +/. 480188_481432 MOT · french/lyon_nat25b.cha, line 320 · Nathan 2;10
  2. <et sa maman elle lui dit mais non Georges les chats font miaou mais les chiens font> [= ! récite] ? 481432_487448 MOT · french/lyon_nat25b.cha, line 326 · Nathan 2;10
  1. french/lyon_nat25b.cha, line 320 · Nathan, 2;10.23
    MOT<et la maman de Georges dit> [= ! récite] . 476012_478017
    MOT<mais non Georges> [= ! récite] . 478017_480188
    MOT*MOT: les chats +/. 480188_481432
    CHImaman ?
    MOT<et sa maman elle lui dit mais non Georges les chats font miaou mais les chiens font> [= ! récite] ? 481432_487448
  2. french/lyon_nat25b.cha, line 326 · Nathan, 2;10.23
    MOTles chats +/. 480188_481432
    CHImaman ?
    MOT*MOT: <et sa maman elle lui dit mais non Georges les chats font miaou mais les chiens font> [= ! récite] ? 481432_487448
    JEA<ouaf ouaf> [= ! récite] . 487448_489127
    CHIyyy . 489127_493270

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 french2.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25b.chaNathan 2;10.23790222.53

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. chats2 · 100.0%