PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (438 utterances, 1,255 words searched).

  1. vero ? MOT · italian_new/lorenzo_24_540.cha, line 41 · Lorenzo 1;08
  2. vero ? MOT · italian_new/lorenzo_24_540.cha, line 261 · Lorenzo 1;08
  3. vero ? MOT · italian_new/lorenzo_24_540.cha, line 723 · Lorenzo 1;08
  1. italian_new/lorenzo_24_540.cha, line 41 · Lorenzo, 1;08.00
    CHIx@l .
    MOTper far la pipì quello lì .
    MOT*MOT: vero ?
    MOTbisogna insegnarli tutti lo stesso, neh ?
    MOTxxx .
  2. italian_new/lorenzo_24_540.cha, line 261 · Lorenzo, 1;08.00
    CHIx@l fari [: Ferrari] .
    MOTuna Ferrari eh ?
    MOT*MOT: vero ?
    CHIx@l bamboa [: bambola] .
    CHIx@l bambola .
  3. italian_new/lorenzo_24_540.cha, line 723 · Lorenzo, 1;08.00
    CHIx@l pomodoro .
    MOTah che buono il pomodoro .
    MOT*MOT: vero ?
    CHIx@l visto ?
    CHIx@l tanto [: arancio] .

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. Lorenzo italian_new2.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
italian_new/lorenzo_24_540.chaLorenzo 1;08.001,255332.39

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. vero3 · 100.0%