PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (478 utterances, 1,447 words searched).

  1. non pas de jus # tantot tu vas avoir ton lait . MOT · bilingual_french_Genesee/jes13b11m.cha, line 616 · Jessica 1;10
  2. oui [>] ton jus ? MOT · bilingual_french_Genesee/jes13b11m.cha, line 1509 · Jessica 1;10
  3. du jus oui . MOT · bilingual_french_Genesee/jes13b11m.cha, line 1681 · Jessica 1;10
  1. bilingual_french_Genesee/jes13b11m.cha, line 616 · Jessica, 1;10.27
    MOTmerci [>] .
    CHIjus [<] [/] jus .
    MOT*MOT: non pas de jus # tantot tu vas avoir ton lait .
    CHIlait .
    MOToui tantot .
  2. bilingual_french_Genesee/jes13b11m.cha, line 1509 · Jessica, 1;10.27
    MOTxxx [>] +/.
    CHIjus [<] .
    MOT*MOT: oui [>] ton jus ?
    CHIjus [<] .
    MOTca c'est quoi .
  3. bilingual_french_Genesee/jes13b11m.cha, line 1681 · Jessica, 1;10.27
    CHI<du jus> [<] .
    CHIjus .
    MOT*MOT: du jus oui .
    MOTc'est qui ca .
    MOTc'est qui le bébé .

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. Jessica bilingual_french_Genesee2.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_french_Genesee/jes13b11m.chaJessica 1;10.271,447332.07

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. jus3 · 100.0%