PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (218 utterances, 800 words searched).

  1. tu me l'apportes ? GER · french/lyon_mar06a.cha, line 122 · Marie 1;02
  2. tu me l'apportes ? 562908_564387 GER · french/lyon_mar06a.cha, line 267 · Marie 1;02
  3. tu me l'apportes Mar . 716628_720358 MOT · french/lyon_mar06a.cha, line 382 · Marie 1;02
  1. MOTtu le portes encore ? 253667_257988
    MOTtu le mets où ? 257988_260630
    GER*GER: tu me l'apportes ?
    GERah . 279187_284792
    MOTah .
  2. MOTça peut se casser . 556908_557948
    CHIyyy . 557948_562908
    GER*GER: tu me l'apportes ? 562908_564387
    GERregarde hop , voilà . 564387_569870
    MOTet là ? 585788_587040
  3. GERtu veux ça ? 712358_715360
    GERtiens . 715360_716628
    MOT*MOT: tu me l'apportes Mar . 716628_720358
    MOTtu me le donnes ? 720358_721341
    CHIyyy . 721341_730318

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 french3.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar06a.chaMarie 1;2.27800333.75

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. l'apportes3 · 100.0%