PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (218 utterances, 833 words searched).

  1. tu me le donnes ? 204450_210595 MOT · french/lyon_mar10b.cha, line 211 · Marie 1;06
  2. tu m(e) donnes ? GER · french/lyon_mar10b.cha, line 346 · Marie 1;06
  3. tu m(e) le donnes ? 333515_336385 GER · french/lyon_mar10b.cha, line 348 · Marie 1;06
  1. MOTj(e) vais t(e) le prendre , et puis j(e) l(e) r(e)mets dans l(e) baril . 197697_200752
    MOToh oh , Mar . 200752_204450
    MOT*MOT: tu me le donnes ? 204450_210595
    MOTmerci . 210595_212263
    CHI‹non [= ! pleurniche]› .
  2. CHIyyy yyy encore ? 317167_321388
    GERc'est pour à moi ? 321388_333515
    GER*GER: tu m(e) donnes ?
    GERtu m(e) le donnes ? 333515_336385
    GERmm , non .
  3. GERc'est pour à moi ? 321388_333515
    GERtu m(e) donnes ?
    GER*GER: tu m(e) le donnes ? 333515_336385
    GERmm , non .
    MOTéh , www [= ! imite_bruit] qu'est-ce que j'ai dit ? 336385_343052

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 french3.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar10b.chaMarie 1;6.22833333.60

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. donnes3 · 100.0%