PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (278 utterances, 1,004 words searched).

  1. bueno, a ver enséñame. MOT · bilingual_eng_span_Perez/alberto05.cha, line 47 · Alberto 2;02
  2. a ver, no tengo ni idea . MOT · bilingual_eng_span_Perez/alberto05.cha, line 85 · Alberto 2;02
  3. a ver, ponla ahí . MOT · bilingual_eng_span_Perez/alberto05.cha, line 91 · Alberto 2;02
  4. a ver súbete . MOT · bilingual_eng_span_Perez/alberto05.cha, line 240 · Alberto 2;02
  1. MOTquieres recoger los botones?
    MOTbueno vamónos por ahí .
    MOT*MOT: bueno, a ver enséñame.
    MOThiciste el túnel?
    MOTqué haces.
  2. MOTthere (i)s on top of that?
    MOTdónde está el ingeniero?
    MOT*MOT: a ver, no tengo ni idea .
    MOTestá aquí?
    CHIsí .
  3. MOTponla ahí .
    MOTy una cebra detrás .
    MOT*MOT: a ver, ponla ahí .
    MOTla cebra detrás .
    MOTaquí tienes el elefante .
  4. MOTy tú también xx .
    MOTte ayudo?
    MOT*MOT: a ver súbete .
    MOTbueno te pongo un poco de crema .
    CHII need this .

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. Alberto bilingual_eng_span_Perez3.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_span_Perez/alberto05.chaAlberto 2;2.1,004443.98

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. ver4 · 100.0%