PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. no sé, Sheila tú has visto su libro? MOT · bilingual_eng_span_Perez/shelia2.cha, line 179 · Sheila 2;08
  2. a ver, Sheila . MOT · bilingual_eng_span_Perez/shelia2.cha, line 186 · Sheila 2;08
  3. Sheila, vamos a hacer el # correcto, bueno? MOT · bilingual_eng_span_Perez/shelia2.cha, line 190 · Sheila 2;08
  4. sí, pon un círculo, Sheila, muy bien . MOT · bilingual_eng_span_Perez/shelia2.cha, line 210 · Sheila 2;08
  1. MOTes morado?
    ERNsí .
    MOT*MOT: no sé, Sheila tú has visto su libro?
    CHIno .
    MOTno?
  2. MOTcon cuidado .
    MOTwww.
    MOT*MOT: a ver, Sheila .
    MOTa ver, siéntate m(i) hija, vamos a hacer este .
    MOTdice look closely .
  3. MOTdice look closely .
    MOTwe are studying animals in every room .
    MOT*MOT: Sheila, vamos a hacer el # correcto, bueno?
    MOTwww.
    MOTun momentito, por favor .
  4. MOTaquí?
    CHIsí .
    MOT*MOT: sí, pon un círculo, Sheila, muy bien .
    MOTokey, cuántos hay?
    MOTuno?

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_Perez6.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/shelia2.chaSheila 2;8.627446.38

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. sheila4 · 100.0%