PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (404 utterances, 2,270 words searched).

  1. Rudy e cosa faceva Rudy ? MOT · italian/gug7.cha, line 88 · Guglielmo 2;10
  2. Rudy e cosa faceva Rudy ? MOT · italian/gug7.cha, line 88 · Guglielmo 2;10
  3. e cosa avevano Rudy e Anita ? MOT · italian/gug7.cha, line 109 · Guglielmo 2;10
  4. povero Rudy ! MOT · italian/gug7.cha, line 123 · Guglielmo 2;10
  5. # e che cosa facevano Rudy e Anita ? MOT · italian/gug7.cha, line 124 · Guglielmo 2;10
  6. di Rudy ! MOT · italian/gug7.cha, line 883 · Guglielmo 2;10
  1. italian/gug7.cha, line 88 · Guglielmo, 2;10.2
    MOTallora qui comincia la storia questo signore come si chiama te lo ricordi ?
    CHIRudy .
    MOT*MOT: Rudy e cosa faceva Rudy ?
    CHIeh !
    CHIstijava .
  2. italian/gug7.cha, line 109 · Guglielmo, 2;10.2
    MOTla sua &mo +...
    MOTmoglie uhm !
    MOT*MOT: e cosa avevano Rudy e Anita ?
    CHIi cagnolini .
    MOTdue cani !
  3. italian/gug7.cha, line 123 · Guglielmo, 2;10.2
    MOTsalivano sulle poltrone rovesciavano i libri guarda lì !
    MOTche confusione !
    MOT*MOT: povero Rudy !
    MOT# e che cosa facevano Rudy e Anita ?
    CHI&ques +/.
  4. italian/gug7.cha, line 124 · Guglielmo, 2;10.2
    MOTche confusione !
    MOTpovero Rudy !
    MOT*MOT: # e che cosa facevano Rudy e Anita ?
    CHI&ques +/.
    MOTli portavano +...
  5. italian/gug7.cha, line 883 · Guglielmo, 2;10.2
    MOTa casa di chi ?
    CHIdi Rudy !
    MOT*MOT: di Rudy !
    CHIe Anita .
    MOTe Anita, che sono tutti contenti di averli ritrovati, eh ?

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. Guglielmo italian2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
italian/gug7.chaGuglielmo 2;10.22,270562.64

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. rudy6 · 100.0%