PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (417 utterances, 1,600 words searched).

  1. par là . MOT · french/lyon_nat39b.cha, line 548 · Nathan 2;09
  2. alors on commence par quoi ? 615000_616650 MOT · french/lyon_nat39b.cha, line 734 · Nathan 2;09
  3. Pinocchio il se fait avaler par une baleine ! MOT · french/lyon_nat39b.cha, line 1342 · Nathan 2;09
  4. par exemple . MOT · french/lyon_nat39b.cha, line 1629 · Nathan 2;09
  1. french/lyon_nat39b.cha, line 548 · Nathan, 2;9.7
    MOTnon . 475167_482472
    MOTnon plus .
    MOT*MOT: par là .
    MOTvoilà ! 482472_487665
    MOTah les voilà les pieds ! 487665_493495
  2. french/lyon_nat39b.cha, line 734 · Nathan, 2;9.7
    MOTon les compte ?
    CHIoui .
    MOT*MOT: alors on commence par quoi ? 615000_616650
    MOTun .
    CHIdeux . 616650_619297
  3. french/lyon_nat39b.cha, line 1342 · Nathan, 2;9.7
    MOToui .
    CHI‹(pour)quoi [?]› des baleines ? 1056262_1060000
    MOT*MOT: Pinocchio il se fait avaler par une baleine !
    CHIquoi ?
    MOThein ? 1060000_1074930
  4. french/lyon_nat39b.cha, line 1629 · Nathan, 2;9.7
    CHId'accord . 1322473_1326037
    CHIwww [= ! soupir] .
    MOT*MOT: par exemple .
    MOToui . 1326037_1331322
    MOTah non je +//. 1331322_1335463

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 french2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat39b.chaNathan 2;9.71,600442.50

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. par4 · 100.0%