PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 903 words searched).

  1. +< hou la <où est-c(e) qu'ell(e) va> [/] où est-c(e) qu'elle va ? 294202_295455 MOT · french/lyon_nat17a.cha, line 98 · Nathan 1;09
  2. est-c(e) qu'elle va aller jusqu'à Jea ? 394378_402052 MOT · french/lyon_nat17a.cha, line 169 · Nathan 1;09
  1. french/lyon_nat17a.cha, line 98 · Nathan, 1;9.3
    MOThop ! 276830_277467
    CHIyyy . 277467_294202
    MOT*MOT: +< hou la <où est-c(e) qu'ell(e) va> [/] où est-c(e) qu'elle va ? 294202_295455
    MOTtu vas la chercher . 295455_296145
    MOToù tu vas Nanou ? 296145_301803
  2. french/lyon_nat17a.cha, line 169 · Nathan, 1;9.3
    MOTtu m(e) l'envois Nanou . 369280_372378
    MOTah accident . 372378_394378
    MOT*MOT: est-c(e) qu'elle va aller jusqu'à Jea ? 394378_402052
    MOTpresque . 402052_405538
    MOTyyy Nanou . 405538_407970

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 french2.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17a.chaNathan 1;9.3903222.21

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. qu'elle2 · 100.0%