PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (419 utterances, 1,284 words searched).

  1. o sea, no es café. FAT · bilingual_eng_span_Perez/carla01.cha, line 205 · Carla 2;00
  2. no es café . FAT · bilingual_eng_span_Perez/carla01.cha, line 206 · Carla 2;00
  3. ya bebió café . FAT · bilingual_eng_span_Perez/carla01.cha, line 209 · Carla 2;00
  4. Papi ya tuvo café . FAT · bilingual_eng_span_Perez/carla01.cha, line 211 · Carla 2;00
  1. CHIah leche .
    FATah, es leche claro .
    FAT*FAT: o sea, no es café.
    FATno es café .
    CHIPapi uh uh Papi un un café?
  2. FATah, es leche claro .
    FATo sea, no es café.
    FAT*FAT: no es café .
    CHIPapi uh uh Papi un un café?
    FATsí Papi ya bebió .
  3. CHIPapi uh uh Papi un un café?
    FATsí Papi ya bebió .
    FAT*FAT: ya bebió café .
    FATya tomó .
    FATPapi ya tuvo café .
  4. FATya bebió café .
    FATya tomó .
    FAT*FAT: Papi ya tuvo café .
    FATglu glu .
    FATy Carla tiene milk .

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_Perez3.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/carla01.chaCarla 2;0.1,284443.12

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. café4 · 100.0%