PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,353 words searched).

  1. maman elle sait mieux le faire [= ! rit] . 908152_910228 GER · french/lyon_ana06b.cha, line 717 · Anais 1;03
  2. tu vas faire dodo . 1015908_1016828 MOT · french/lyon_ana06b.cha, line 834 · Anais 1;03
  3. tu vas faire le noeud ? 1814242_1816388 GER · french/lyon_ana06b.cha, line 1360 · Anais 1;03
  1. GERc'est beau hein . 904382_904792
    GERhop . 904792_908152
    GER*GER: maman elle sait mieux le faire [= ! rit] . 908152_910228
    MOTallez . 910228_916467
    MOThop . 916467_918887
  2. MOTtu vas au dodo ?
    MOToh oui tu va au dodo . 1009950_1015908
    MOT*MOT: tu vas faire dodo . 1015908_1016828
    MOTvoilà allez . 1016828_1018787
    MOTallez tu dors . 1018787_1019822
  3. GERoh il est là . 1809658_1811550
    GERtu l'attaches ? 1811550_1814242
    GER*GER: tu vas faire le noeud ? 1814242_1816388
    CHIwww [= ! crie] [= ! rit] . 1816388_1818895
    MOTon le remet ? 1818895_1825168

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 french2.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana06b.chaAnais 1;3.31,353332.22

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. faire3 · 100.0%