PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (365 utterances, 1,035 words searched).

  1. on l(e) refera ce soir . MOT · french/lyon_nat28b.cha, line 813 · Nathan 2;03
  2. +< Nanou si tu pouvais t'asseoir bien ce s(e)rait plus facile pour moi . MOT · french/lyon_nat28b.cha, line 1072 · Nathan 2;03
  1. CHIyyy train .
    MOTouais mais c'est pas grave . 416702_419873
    MOT*MOT: on l(e) refera ce soir .
    CHIyyy . 419873_422057
    MOTmh ?
  2. CHIyyy .
    CHIyyy . 577587_583067
    MOT*MOT: +< Nanou si tu pouvais t'asseoir bien ce s(e)rait plus facile pour moi .
    CHI+< yyy yyy .
    CHIyyy .

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. Nathan french1.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat28b.chaNathan 2;3.61,035221.93

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. ce2 · 100.0%