PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

46.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (57 utterances, 192 words searched).

  1. ahora me toca a mí . FAT · bilingual_eng_span_Perez/carla05.cha, line 23 · Carla 2;03
  2. qué la pasó y tú me la tiras a mí? FAT · bilingual_eng_span_Perez/carla05.cha, line 38 · Carla 2;03
  3. de nada tú a mí? FAT · bilingual_eng_span_Perez/carla05.cha, line 45 · Carla 2;03
  4. Virginia is a ? MOT · bilingual_eng_span_Perez/carla05.cha, line 51 · Carla 2;03
  5. es un programa que voy a grabar . FAT · bilingual_eng_span_Perez/carla05.cha, line 83 · Carla 2;03
  6. vamos a ver este? FAT · bilingual_eng_span_Perez/carla05.cha, line 84 · Carla 2;03
  7. vamos arriba a buscar a mamita? FAT · bilingual_eng_span_Perez/carla05.cha, line 99 · Carla 2;03
  8. vamos arriba a buscar a mamita? FAT · bilingual_eng_span_Perez/carla05.cha, line 99 · Carla 2;03
  9. vas a bajar conmigo? FAT · bilingual_eng_span_Perez/carla05.cha, line 105 · Carla 2;03
  1. FATpónte ahí .
    FATmy turn .
    FAT*FAT: ahora me toca a mí .
    FATmy turn.
    FATCarla's turn .
  2. FATun turn para Carla .
    CHIcaughs again .
    FAT*FAT: qué la pasó y tú me la tiras a mí?
    CHIno ah ah uh .
    FATah peekaboo .
  3. FATtoma .
    CHIgracias .
    FAT*FAT: de nada tú a mí?
    FATmy turn my turn .
    CHIplastilina ahí .
  4. CHIplastilina ahí .
    FATno hay plasitlina ahí se acabó .
    MOT*MOT: Virginia is a ?
    FATyes .
    FATtú quieres hablar con Albertito?
  5. FATno puedo .
    CHIno puedes .
    FAT*FAT: es un programa que voy a grabar .
    FATvamos a ver este?
    FATcomes cereales?
  6. CHIno puedes .
    FATes un programa que voy a grabar .
    FAT*FAT: vamos a ver este?
    FATcomes cereales?
    FATson perritos?
  7. FATend the end .
    FATqué pasa?
    FAT*FAT: vamos arriba a buscar a mamita?
    FATpeekaboo [/] pekaboo [/] peekaboo .
    FATme llamaste?
  8. FATme llamaste?
    FATCarla, peekaboo .
    FAT*FAT: vas a bajar conmigo?
    FATCa:rla Ca:rla .

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. Carla bilingual_eng_span_Perez46.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/carla05.chaCarla 2;3.1928946.88

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. a9 · 100.0%