PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (127 utterances, 574 words searched).

  1. pero stop no es una mala palabra . MOT · bilingual_eng_span_Perez/antonio2.cha, line 53 · Antonio 2;11
  2. sí, pero esa palabra [///] qué dijimos tú y yo? MOT · bilingual_eng_span_Perez/antonio2.cha, line 68 · Antonio 2;11
  3. pero no te vas a hacer pipí otra vez, no? MOT · bilingual_eng_span_Perez/antonio2.cha, line 166 · Antonio 2;11
  1. bilingual_eng_span_Perez/antonio2.cha, line 53 · Antonio, 2;11.
    MOTdijo malas palabras?
    CHIdijo stop .
    MOT*MOT: pero stop no es una mala palabra .
    CHIno?
    MOTno .
  2. bilingual_eng_span_Perez/antonio2.cha, line 68 · Antonio, 2;11.
    MOTesa palabra +/.
    CHIno ella xx .
    MOT*MOT: sí, pero esa palabra [///] qué dijimos tú y yo?
    MOTque esa palabra no se dice .
    MOTes una palabra fea verdad?
  3. bilingual_eng_span_Perez/antonio2.cha, line 166 · Antonio, 2;11.
    MOTuhhum .
    CHIéste es my [//] es mi turno, Mama, okey?
    MOT*MOT: pero no te vas a hacer pipí otra vez, no?
    CHIokey .
    MOTme lo prometes?

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. Antonio bilingual_eng_span_Perez5.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/antonio2.chaAntonio 2;11.574335.23

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. pero3 · 100.0%