PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (632 utterances, 2,224 words searched).

  1. después vamos a comer? MOT · bilingual_eng_span_Perez/shelia1.cha, line 27 · Sheila 2;02
  2. se dice Mama, puedo comer? MOT · bilingual_eng_span_Perez/shelia1.cha, line 32 · Sheila 2;02
  3. puedo comer? MOT · bilingual_eng_span_Perez/shelia1.cha, line 35 · Sheila 2;02
  4. puedo comer? ERN · bilingual_eng_span_Perez/shelia1.cha, line 36 · Sheila 2;02
  5. vamos a comer una butanita? MOT · bilingual_eng_span_Perez/shelia1.cha, line 125 · Sheila 2;02
  1. MOTsí .
    MOTvamos a hacer nuestra taera ahorita?
    MOT*MOT: después vamos a comer?
    ERNI just want to eat .
    MOTah, y cómo se dice en español?
  2. CHIMama sí por favor .
    MOTsí por favor Sheila?
    MOT*MOT: se dice Mama, puedo comer?
    ERNcom com .
    MOTno no no .
  3. ERNcom com .
    MOTno no no .
    MOT*MOT: puedo comer?
    ERNpuedo comer?
    MOTun sandwhich de helado?
  4. MOTno no no .
    MOTpuedo comer?
    ERN*ERN: puedo comer?
    MOTun sandwhich de helado?
    ERNmande Mamá?
  5. MOTgracias .
    CHIxx .
    MOT*MOT: vamos a comer una butanita?
    CHIyeah (bu)tanita .
    MOTbutanita?

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. Sheila bilingual_eng_span_Perez2.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/shelia1.chaSheila 2;2.2,224552.25

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. comer5 · 100.0%