PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (619 utterances, 1,447 words searched).

  1. say Isabelle . FAT · bilingual_eng_Genesee/jes13b11b.cha, line 162 · Jessica 1;10
  2. can you say Isabelle ? OBS · bilingual_eng_Genesee/jes13b11b.cha, line 164 · Jessica 1;10
  3. can you say Isabelle [>] ? FAT · bilingual_eng_Genesee/jes13b11b.cha, line 166 · Jessica 1;10
  4. say hi Isabelle . FAT · bilingual_eng_Genesee/jes13b11b.cha, line 170 · Jessica 1;10
  5. Isabelle [<] . FAT · bilingual_eng_Genesee/jes13b11b.cha, line 378 · Jessica 1;10
  6. Isabelle . MOT · bilingual_eng_Genesee/jes13b11b.cha, line 1964 · Jessica 1;10
  7. say Isabelle . FAT · bilingual_eng_Genesee/jes13b11b.cha, line 1968 · Jessica 1;10
  1. CHImadame .
    FATyes madame .
    FAT*FAT: say Isabelle .
    OBScan you say Isabelle ?
    FATcan you say Isabelle [>] ?
  2. FATyes madame .
    FATsay Isabelle .
    OBS*OBS: can you say Isabelle ?
    FATcan you say Isabelle [>] ?
    OBShmm [<] ?
  3. FATsay Isabelle .
    OBScan you say Isabelle ?
    FAT*FAT: can you say Isabelle [>] ?
    OBShmm [<] ?
    FATsay hi Isabelle .
  4. FATcan you say Isabelle [>] ?
    OBShmm [<] ?
    FAT*FAT: say hi Isabelle .
    OBShmm ?
    OBSyep .
  5. CHImadame [<] .
    CHI<a madame>[>] .
    FAT*FAT: Isabelle [<] .
    CHImadame [>] .
    FAT<what's that>[<] .
  6. MOT0.
    OBSyes madame [=! laughs] .
    MOT*MOT: Isabelle .
    OBSoui .
    FATsay Isabelle .
  7. MOTIsabelle .
    OBSoui .
    FAT*FAT: say Isabelle .
    CHIno ?
    MOToui ?

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_eng_Genesee4.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/jes13b11b.chaJessica 1;10.201,447774.84

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. isabelle7 · 100.0%