PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (465 utterances, 1,272 words searched).

  1. hai detto alla Nicoletta dove sei andata ? MOT · italian_new/linda_20_251.cha, line 122 · Linda 1;08
  2. sei già di ritorno ? MOT · italian_new/linda_20_251.cha, line 324 · Linda 1;08
  3. quanto bella sei tu ? MOT · italian_new/linda_20_251.cha, line 368 · Linda 1;08
  4. sei caduta ? MOT · italian_new/linda_20_251.cha, line 501 · Linda 1;08
  5. chi sei tu ? MOT · italian_new/linda_20_251.cha, line 611 · Linda 1;08
  1. CHIsedia mamma .
    MOTsedia della mamma .
    MOT*MOT: hai detto alla Nicoletta dove sei andata ?
    MOTeh ?
    MOTdove vai ?
  2. MOTa posto ?
    CHIsì !
    MOT*MOT: sei già di ritorno ?
    MOTeh ?
    CHIx@k .
  3. MOTla Linda è sullo specchio .
    CHIx@k .
    MOT*MOT: quanto bella sei tu ?
    MOTx@o .
    MOToh !
  4. CHInanna .
    CHIopplà duta [: caduta] !
    MOT*MOT: sei caduta ?
    MOTah ciuccia .
    CHIeiddo [: finito] tutta .
  5. MOTno rompere tutto !
    MOTnon staccare !
    MOT*MOT: chi sei tu ?
    CHILinda .
    CHIbimbo ?

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_new3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
italian_new/linda_20_251.chaLinda 1;8.161,272553.93

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. sei5 · 100.0%