PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (182 utterances, 627 words searched).

  1. qué nombre el ponermos? MOT · bilingual_eng_span_Perez/shelia2.cha, line 65 · Sheila 2;08
  2. ah, vamos a dar un nombre al bebé? MOT · bilingual_eng_span_Perez/shelia2.cha, line 106 · Sheila 2;08
  3. tenemos que buscar el nombre, bueno? MOT · bilingual_eng_span_Perez/shelia2.cha, line 134 · Sheila 2;08
  1. bilingual_eng_span_Perez/shelia2.cha, line 65 · Sheila, 2;8.
    MOTes un caballo, sí?
    MOTcómo se llama el caballo?
    MOT*MOT: qué nombre el ponermos?
    CHII know .
    MOTqué m(i) hija?
  2. bilingual_eng_span_Perez/shelia2.cha, line 106 · Sheila, 2;8.
    MOTun bebé?
    MOTa ver, mira .
    MOT*MOT: ah, vamos a dar un nombre al bebé?
    CHIsí .
    MOTcómo se llama?
  3. bilingual_eng_span_Perez/shelia2.cha, line 134 · Sheila, 2;8.
    CHIsí .
    MOTuh, no es canario pero no se cómo se llama .
    MOT*MOT: tenemos que buscar el nombre, bueno?
    CHII know Totsie, no Totsie?
    MOTTutchie otra vez?

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. Sheila bilingual_eng_span_Perez4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/shelia2.chaSheila 2;8.627334.78

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. nombre3 · 100.0%