PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,670 words searched).

  1. xx Olivier ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 356 · Olivier 2;10
  2. oh Olivier ? MOT · bilingual_eng_Genesee/oli23b11m.cha, line 601 · Olivier 2;10
  3. no, Olivier . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 677 · Olivier 2;10
  4. Olivier # I'm gonna [: going to] take it away . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 683 · Olivier 2;10
  5. Olivier ? FAT · bilingual_eng_Genesee/oli23b11m.cha, line 696 · Olivier 2;10
  6. Olivier [<] . MOT · bilingual_eng_Genesee/oli23b11m.cha, line 779 · Olivier 2;10
  7. can you make a tower, Olivier ? OBS · bilingual_eng_Genesee/oli23b11m.cha, line 830 · Olivier 2;10
  8. byebye, Olivier . FAT · bilingual_eng_Genesee/oli23b11m.cha, line 1243 · Olivier 2;10
  1. MOT0.
    OBS0.
    MOT*MOT: xx Olivier ?
    MOThoney ?
    MOTElena came to talk to you, honey ?
  2. CHIah # there .
    CHI0.
    MOT*MOT: oh Olivier ?
    CHI0.
    MOTlook what you can make here .
  3. MOTyou put them away .
    CHI0.
    MOT*MOT: no, Olivier .
    MOTno more of that .
    CHI0.
  4. MOTno more of that .
    CHI0.
    MOT*MOT: Olivier # I'm gonna [: going to] take it away .
    CHI0.
    MOT0.
  5. MOTxxx so I have to take it away .
    CHII # can bring [//] # play with my ball .
    FAT*FAT: Olivier ?
    FAT<make a> [/] # make a tower +...
    MOTmake <a tower> [>] .
  6. MOTwhat are you gonna [: going to] do with it ?
    CHI<I gonna> [>] +/.
    MOT*MOT: Olivier [<] .
    CHI0.
    MOTdon't throw it .
  7. MOTxx make a tower, honey .
    MOThelp +/.
    OBS*OBS: can you make a tower, Olivier ?
    CHII can make a big one .
    CHI0.
  8. MOTsay see you later Daddy .
    CHIsee you later .
    FAT*FAT: byebye, Olivier .
    CHI0.
    MOToop !

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. Olivier bilingual_eng_Genesee4.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b11m.chaOlivier 2;10.291,670884.79

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. olivier8 · 100.0%