PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. qui m'aime me suive . 679165_684187 MOT · french/lyon_nat01a.cha, line 484 · Nathan 1;00
  2. tu me l'envoie ? MOT · french/lyon_nat01a.cha, line 672 · Nathan 1;00
  3. tu me le donne ? 935083_937732 MOT · french/lyon_nat01a.cha, line 674 · Nathan 1;00
  1. MOTah mais <t(u) es tombé sur le> [//] t(u) es tombé sur le xxx c'est pour ça . 674765_679165
    MOTbon alors là i(l) part en vadrouille euh .
    MOT*MOT: qui m'aime me suive . 679165_684187
    MOTj(e) sais pas qu'est-ce tu veux faire ?
    MOTtu veux +/? 684187_687757
  2. MOTouf: [= ! rit] . 926128_930315
    MOTlaisse lui Jea ! 930317_935077
    MOT*MOT: tu me l'envoie ?
    MOTtu me le donne ? 935083_937732
    MOTnanou ? 937732_939212
  3. MOTlaisse lui Jea ! 930317_935077
    MOTtu me l'envoie ?
    MOT*MOT: tu me le donne ? 935083_937732
    MOTnanou ? 937732_939212
    MOToui .

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;0.121,023332.93

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. me3 · 100.0%