PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (232 utterances, 781 words searched).

  1. fresas . FAT · bilingual_eng_span_Perez/alberto11.cha, line 281 · Alberto 2;04
  2. por favor fresas . FAT · bilingual_eng_span_Perez/alberto11.cha, line 284 · Alberto 2;04
  3. dile Mama no tiene fresas . FAT · bilingual_eng_span_Perez/alberto11.cha, line 289 · Alberto 2;04
  1. bilingual_eng_span_Perez/alberto11.cha, line 281 · Alberto, 2;4.
    FATcome [//] el foca [//] la foca come fresa .
    FATdile por favor .
    FAT*FAT: fresas .
    FATte gusta?
    CHIpor favor fresas .
  2. bilingual_eng_span_Perez/alberto11.cha, line 284 · Alberto, 2;4.
    FATte gusta?
    CHIpor favor fresas .
    FAT*FAT: por favor fresas .
    FATno tengo lo siento .
    CHIyou d(o) n(o)t have fresas?
  3. bilingual_eng_span_Perez/alberto11.cha, line 289 · Alberto, 2;4.
    FATno tengo [//] no tenemos .
    CHIMama comprar fresas .
    FAT*FAT: dile Mama no tiene fresas .
    CHIMama no tiene fresas .
    FATsí, es verdad .

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_Perez3.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/alberto11.chaAlberto 2;4.781333.84

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. fresas3 · 100.0%