PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 1,023 words searched).

  1. tiens <j(e) vais lui donner ça> [/] j(e) vais lui donner ça ! 870258_873315 JEA · french/lyon_nat01a.cha, line 642 · Nathan 1;00
  2. tiens <j(e) vais lui donner ça> [/] j(e) vais lui donner ça ! 870258_873315 JEA · french/lyon_nat01a.cha, line 642 · Nathan 1;00
  3. c'est bon Jea écoute t(u) avais qu'a lui donner avant hein ! 873328_877007 MOT · french/lyon_nat01a.cha, line 646 · Nathan 1;00
  1. CHIwww [= ! pleure] ! 864837_868380
    MOTtiens . 868385_870250
    JEA*JEA: tiens <j(e) vais lui donner ça> [/] j(e) vais lui donner ça ! 870258_873315
    MOTc'est bon Jea écoute t(u) avais qu'a lui donner avant hein ! 873328_877007
    MOTbing ! 877007_880387
  2. MOTtiens . 868385_870250
    JEAtiens <j(e) vais lui donner ça> [/] j(e) vais lui donner ça ! 870258_873315
    MOT*MOT: c'est bon Jea écoute t(u) avais qu'a lui donner avant hein ! 873328_877007
    MOTbing ! 877007_880387
    JEAtiens . 880397_887673

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 french2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat01a.chaNathan 1;0.121,023232.93

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. donner3 · 100.0%