PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (284 utterances, 945 words searched).

  1. dai da mangiar la pappa al tato ? MOT · italian_new/linda_16_91.cha, line 76 · Linda 1;04
  2. come fa a mangiar la pappa il tato ? MOT · italian_new/linda_16_91.cha, line 78 · Linda 1;04
  3. ecco li il tato come fa a mangiar la pappa come fa ? MOT · italian_new/linda_16_91.cha, line 80 · Linda 1;04
  1. MOTtu mangi la pappa senza pentolino ?
    CHIx@k .
    MOT*MOT: dai da mangiar la pappa al tato ?
    MOTcome fai ?
    MOTcome fa a mangiar la pappa il tato ?
  2. MOTdai da mangiar la pappa al tato ?
    MOTcome fai ?
    MOT*MOT: come fa a mangiar la pappa il tato ?
    MOTeh Linda ?
    MOTecco li il tato come fa a mangiar la pappa come fa ?
  3. MOTcome fa a mangiar la pappa il tato ?
    MOTeh Linda ?
    MOT*MOT: ecco li il tato come fa a mangiar la pappa come fa ?
    CHIaddo [: caduto] .
    MOToh è caduto !

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. Linda italian_new3.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
italian_new/linda_16_91.chaLinda 1;04.03945333.17

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. mangiar3 · 100.0%