PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

5.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (155 utterances, 765 words searched).

  1. vamos a tomas una manzanilla . MOT · bilingual_eng_span_Perez/carla07.cha, line 53 · Carla 2;04
  2. vamos a tomar un té . FAT · bilingual_eng_span_Perez/carla07.cha, line 54 · Carla 2;04
  3. ratita, vamos a acostarnos? MOT · bilingual_eng_span_Perez/carla07.cha, line 157 · Carla 2;04
  4. okey, pero vamos arriba amor . FAT · bilingual_eng_span_Perez/carla07.cha, line 160 · Carla 2;04
  1. MOTsí crayones .
    MOTis preparing a manzanilla.
    MOT*MOT: vamos a tomas una manzanilla .
    FATvamos a tomar un té .
    CHIyo quiero mi leche .
  2. MOTis preparing a manzanilla.
    MOTvamos a tomas una manzanilla .
    FAT*FAT: vamos a tomar un té .
    CHIyo quiero mi leche .
    FATdeja un poquito de espacio tambien para tu manzanilla .
  3. CHIMickey .
    FATen inglés?
    MOT*MOT: ratita, vamos a acostarnos?
    CHIno, español .
    FATespañol?
  4. CHIno, español .
    FATespañol?
    FAT*FAT: okey, pero vamos arriba amor .
    FATYo estoy maliño como tú.
    FATyo estoy maliño igual que tú Carla .

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. Carla bilingual_eng_span_Perez5.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/carla07.chaCarla 2;4.765445.23

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. vamos4 · 100.0%