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. all gone Batman . MOT · bilingual_french_Genesee/jes13b11m.cha, line 514 · Jessica 1;10
  2. all gone Daddy work ? MOT · bilingual_french_Genesee/jes13b11m.cha, line 845 · Jessica 1;10
  3. all gone cookies . FAT · bilingual_french_Genesee/jes13b11m.cha, line 1043 · Jessica 1;10
  1. bilingual_french_Genesee/jes13b11m.cha, line 514 · Jessica, 1;10.27
    MOTva chercher tes autres livres ?
    CHIall gone Batman .
    MOT*MOT: all gone Batman .
    MOTxxx .
    OBS0.
  2. bilingual_french_Genesee/jes13b11m.cha, line 845 · Jessica, 1;10.27
    MOTgo work ?
    CHIno Daddy all gone Daddy .
    MOT*MOT: all gone Daddy work ?
    MOTtouche pas .
    MOTc'est quoi ca .
  3. bilingual_french_Genesee/jes13b11m.cha, line 1043 · Jessica, 1;10.27
    CHI<all gone cookie> [>] .
    MOT<viens t'en> [<] .
    FAT*FAT: all gone cookies .
    MOTexcuse moi .
    OBSc'est pas grave .

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. gone3 · 100.0%