PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (176 utterances, 844 words searched).

  1. te tomas tu café? MOT · bilingual_eng_span_Perez/antonio1.cha, line 40 · Antonio 2;11
  2. uy que bien se toma su café . MOT · bilingual_eng_span_Perez/antonio1.cha, line 49 · Antonio 2;11
  3. un poquito más de café . MOT · bilingual_eng_span_Perez/antonio1.cha, line 72 · Antonio 2;11
  1. bilingual_eng_span_Perez/antonio1.cha, line 40 · Antonio, 2;11.
    CHIlike this?
    MOTa ver, si .
    MOT*MOT: te tomas tu café?
    MOTya ya ya .
    CHII want más .
  2. bilingual_eng_span_Perez/antonio1.cha, line 49 · Antonio, 2;11.
    MOTespera, Antonio, se te va a caer cuidado .
    MOTse cayó?
    MOT*MOT: uy que bien se toma su café .
    MOTuy ves la pupa que se ha hecho mamá?
    MOTqué tontería!
  3. bilingual_eng_span_Perez/antonio1.cha, line 72 · Antonio, 2;11.
    MOTno eches demasiada porque se te sale, eh?
    MOTyo te ayudo .
    MOT*MOT: un poquito más de café .
    MOTokey, ahora tómatelo .
    CHIxx mucho es es no mucho .

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_Perez3.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/antonio1.chaAntonio 2;11.844333.55

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. café3 · 100.0%