PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

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

  1. uy que bien se toma su café . MOT · bilingual_eng_span_Perez/antonio1.cha, line 49 · Antonio 2;11
  2. estaba el señor don gato sentadito en su tejado marramiamiau miau sentadito en su tejado [=! singing] . MOT · bilingual_eng_span_Perez/antonio1.cha, line 302 · Antonio 2;11
  3. … señor don gato sentadito en su tejado marramiamiau miau sentadito en su tejado [=! singing] . MOT · bilingual_eng_span_Perez/antonio1.cha, line 302 · Antonio 2;11
  1. 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!
  2. bilingual_eng_span_Perez/antonio1.cha, line 302 · Antonio, 2;11.
    CHII wanna play with xx the cars .
    CHI[- sings] 0.
    MOT*MOT: estaba el señor don gato sentadito en su tejado marramiamiau miau sentadito en su tejado [=! singing] .
    MOTwww .
    CHII wanna play with mi cars .

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;11.844233.55

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. su3 · 100.0%