PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (244 utterances, 766 words searched).

  1. hoplà purée . MOT · french/lyon_nat01b.cha, line 143 · Nathan 1;00
  2. <hoplà xxx> [= ! chuchote] . 159443_170768 MOT · french/lyon_nat01b.cha, line 184 · Nathan 1;00
  3. hoplà . 687810_689438 MOT · french/lyon_nat01b.cha, line 607 · Nathan 1;00
  1. MOThein ?
    CHImhm . 129235_132487
    MOT*MOT: hoplà purée .
    MOTça va ? 132487_133077
    CHIwww [= ! pleure] ! 133078_141380
  2. CHIah ah .
    MOTça va pépère ?
    MOT*MOT: <hoplà xxx> [= ! chuchote] . 159443_170768
    MOTqu'est-ce (que) tu vas m(e) faire encore là ? 170780_185930
    JEA<ça y est> [/] (.) ça y est ! 185940_192283
  3. MOT<eh oui non> [= ! parle doucement] <pas là> [/] (.) pas là . 654380_677845
    MOTallez . 677848_687803
    MOT*MOT: hoplà . 687810_689438
    MOTbing ! 689442_691260
    MOT<c'est bon> [/] (.) c'est bon ? 715172_720088

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 french3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat01b.chaNathan 1;0.12766333.92

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. hoplà3 · 100.0%