PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 1,234 words searched).

  1. là j(e) vais mett(re) celle-ci (.) de fleur . 365916_372438 MOT · french/lyon_mar13a.cha, line 488 · Marie 1;08
  2. la fleur . 899073_904630 MOT · french/lyon_mar13a.cha, line 982 · Marie 1;08
  3. elle sent bon la fleur ? 904630_911960 MOT · french/lyon_mar13a.cha, line 985 · Marie 1;08
  1. MOTtiens tu remets . 363315_365916
    CHIah .
    MOT*MOT: là j(e) vais mett(re) celle-ci (.) de fleur . 365916_372438
    MOTvoilà ! 372438_373998
    MOTtiens ! 373998_376108
  2. MOTeh attend on www [= ! li] a encore plein de formes . 894630_896748
    MOTcelle-ci . 896748_899073
    MOT*MOT: la fleur . 899073_904630
    MOTelle sent bon la fleur ? 904630_911960
    MOToui ? 911960_914318
  3. MOTcelle-ci . 896748_899073
    MOTla fleur . 899073_904630
    MOT*MOT: elle sent bon la fleur ? 904630_911960
    MOToui ? 911960_914318
    MOTelle sent quelque chose ? 914318_916105

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. Marie french2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar13a.chaMarie 1;8.191,234332.43

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. fleur3 · 100.0%