PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 905 words searched).

  1. pero si nisiquiera tenemos uno de estos freesbees . MOT · bilingual_eng_span_Perez/alberto03.cha, line 87 · Alberto 2;00
  2. tenemos que recoger ya . MOT · bilingual_eng_span_Perez/alberto03.cha, line 107 · Alberto 2;00
  3. mira tenemos que recoger que recoger todos los juguetitos espera . MOT · bilingual_eng_span_Perez/alberto03.cha, line 381 · Alberto 2;00
  1. bilingual_eng_span_Perez/alberto03.cha, line 87 · Alberto, 2;0.23
    CHII play freesbee .
    MOTfreesbee I play freesbee .
    MOT*MOT: pero si nisiquiera tenemos uno de estos freesbees .
    CHII xx xx .
    MOTuh?
  2. bilingual_eng_span_Perez/alberto03.cha, line 107 · Alberto, 2;0.23
    MOTasí se rompen las cosas .
    MOTbueno mira vamos a recoger todo .
    MOT*MOT: tenemos que recoger ya .
    CHIlook at the the train Mommy .
    MOTlook at the train?
  3. bilingual_eng_span_Perez/alberto03.cha, line 381 · Alberto, 2;0.23
    MOTy luego cuando te calientas .
    MOTte dejo quitarla .
    MOT*MOT: mira tenemos que recoger que recoger todos los juguetitos espera .
    CHIto .
    MOTvenga, te ayudo eh?

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. Alberto bilingual_eng_span_Perez3.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/alberto03.chaAlberto 2;0.23905333.31

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. tenemos3 · 100.0%