PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,241 words searched).

  1. tu vas lire ? 529713_532230 MOT · french/lyon_ana06a.cha, line 332 · Anais 1;03
  2. tu veux le lire ? 555627_557467 MOT · french/lyon_ana06a.cha, line 363 · Anais 1;03
  3. tu veux te [/] lire table ? 614030_616352 MOT · french/lyon_ana06a.cha, line 416 · Anais 1;03
  1. MOTpapier ? 528668_529152
    MOTtiens . 529152_529713
    MOT*MOT: tu vas lire ? 529713_532230
    CHIyyy . 532230_536552
    MOTtu lis Chi ? 536552_541038
  2. MOTtiens j(e) te donne un livre ? 554110_554902
    MOTtu veux un livre ? 554902_555627
    MOT*MOT: tu veux le lire ? 555627_557467
    MOTqu'est-ce que tu veux ? 557467_560292
    CHIwww [= ! crie] . 560292_561345
  3. CHIwww [= ! crie] . 602670_608587
    MOTqu'est-ce que tu veux là-haut ? 608587_614030
    MOT*MOT: tu veux te [/] lire table ? 614030_616352
    MOTvas vers ta chaise .
    MOTviens . 616352_617972

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. Anais french2.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana06a.chaAnais 1;3.31,241332.42

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. lire3 · 100.0%