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. Nicky # oui # ta cousine ? MOT · bilingual_french_Genesee/jes13b11m.cha, line 1430 · Jessica 1;10
  2. Nicky <avec qui> [>] ? MOT · bilingual_french_Genesee/jes13b11m.cha, line 1436 · Jessica 1;10
  3. ou ca Nicky . MOT · bilingual_french_Genesee/jes13b11m.cha, line 1756 · Jessica 1;10
  1. bilingual_french_Genesee/jes13b11m.cha, line 1430 · Jessica, 1;10.27
    MOTc'est qui ca .
    CHINicky .
    MOT*MOT: Nicky # oui # ta cousine ?
    CHINicky .
    MOTNicky <avec qui> [>] ?
  2. bilingual_french_Genesee/jes13b11m.cha, line 1436 · Jessica, 1;10.27
    MOTNicky # oui # ta cousine ?
    CHINicky .
    MOT*MOT: Nicky <avec qui> [>] ?
    CHIyyy [<] # non .
    MOTc'est qui ca .
  3. bilingual_french_Genesee/jes13b11m.cha, line 1756 · Jessica, 1;10.27
    MOTc'est quoi ca .
    CHINicky .
    MOT*MOT: ou ca Nicky .

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. nicky3 · 100.0%