PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (182 utterances, 627 words searched).

  1. okey, cuántos hay? MOT · bilingual_eng_span_Perez/shelia2.cha, line 211 · Sheila 2;08
  2. okey, entonces na(da) más hay dos . MOT · bilingual_eng_span_Perez/shelia2.cha, line 251 · Sheila 2;08
  3. hay que poner aquí el número dos . MOT · bilingual_eng_span_Perez/shelia2.cha, line 252 · Sheila 2;08
  1. CHIsí .
    MOTsí, pon un círculo, Sheila, muy bien .
    MOT*MOT: okey, cuántos hay?
    MOTuno?
    CHIuno .
  2. CHIequis .
    MOTsí uno dos, ya ves heehee .
    MOT*MOT: okey, entonces na(da) más hay dos .
    MOThay que poner aquí el número dos .
    MOTmuy bien .
  3. MOTsí uno dos, ya ves heehee .
    MOTokey, entonces na(da) más hay dos .
    MOT*MOT: hay que poner aquí el número dos .
    MOTmuy bien .
    MOTa ver, éstos son triángulos .

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_Perez4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/shelia2.chaSheila 2;8.627334.78

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. hay3 · 100.0%