PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (262 utterances, 1,140 words searched).

  1. el hombre se sube al tren pu puuu . FAT · bilingual_eng_span_Perez/john4.cha, line 355 · John 2;04
  2. mira mamá qué tren más largo ha hecho John . FAT · bilingual_eng_span_Perez/john4.cha, line 370 · John 2;04
  3. el tren va al garaje, también? FAT · bilingual_eng_span_Perez/john4.cha, line 566 · John 2;04
  4. oh el tren va al garaje . FAT · bilingual_eng_span_Perez/john4.cha, line 567 · John 2;04
  1. MOTha ha .
    CHIthe man goes in the train .
    FAT*FAT: el hombre se sube al tren pu puuu .
    CHIwhat is this?
    CHIPa puente .
  2. FATpobre pie .
    CHIxx +/.
    FAT*FAT: mira mamá qué tren más largo ha hecho John .
    MOTah sí?
    MOTdime cuántos puentes .
  3. FATvamos bruuum .
    CHIse va al garaje .
    FAT*FAT: el tren va al garaje, también?
    FAToh el tren va al garaje .
    CHIthe garage's going to close .
  4. CHIse va al garaje .
    FATel tren va al garaje, también?
    FAT*FAT: oh el tren va al garaje .
    CHIthe garage's going to close .
    FATel garaje va a cerrrar .

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. John bilingual_eng_span_Perez3.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/john4.chaJohn 2;4.1,140443.51

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. tren4 · 100.0%