PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,431 words searched).

  1. que pasa # se ha acabo ? MOT · bilingual_span_Deuchar/870531sf.cha, line 835 · M 1;11
  2. yo creo ha hecho pupu . MOT · bilingual_span_Deuchar/870531sf.cha, line 1264 · M 1;11
  3. una escalera # de dónde ha salido eso ? FAT · bilingual_span_Deuchar/870531sf.cha, line 1281 · M 1;11
  1. bilingual_span_Deuchar/870531sf.cha, line 835 · M, 1;11.07
    MOTcome on preguntale .
    FATah perdon # no .
    MOT*MOT: que pasa # se ha acabo ?
    FATno el [/] el ruido sigue # sale .
    MOTvamos a seguir .
  2. bilingual_span_Deuchar/870531sf.cha, line 1264 · M, 1;11.07
    FATuna pa papa .
    CHIM poopoo .
    MOT*MOT: yo creo ha hecho pupu .
    FATpupu # si # otra vez # otra vez pupu ?
    CHIsi .
  3. bilingual_span_Deuchar/870531sf.cha, line 1281 · M, 1;11.07
    FAToohooh !
    CHIyyy .
    FAT*FAT: una escalera # de dónde ha salido eso ?
    CHIcama .
    CHIcama niña cama niña .

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. M bilingual_span_Deuchar2.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_span_Deuchar/870531sf.chaM 1;11.071,431332.10

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. ha3 · 100.0%