PHPCLANCHILDES with regular expressions

5 matches in 1 utterance

2.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (480 utterances, 1,863 words searched).

  1. oup oup oup oup oup pourquoi tu fais ça ? 848351_850426 MOT · french/lyon_mar04a.cha, line 1010 · Marie 1;01
  2. oup oup oup oup oup pourquoi tu fais ça ? 848351_850426 MOT · french/lyon_mar04a.cha, line 1010 · Marie 1;01
  3. oup oup oup oup oup pourquoi tu fais ça ? 848351_850426 MOT · french/lyon_mar04a.cha, line 1010 · Marie 1;01
  4. oup oup oup oup oup pourquoi tu fais ça ? 848351_850426 MOT · french/lyon_mar04a.cha, line 1010 · Marie 1;01
  5. oup oup oup oup oup pourquoi tu fais ça ? 848351_850426 MOT · french/lyon_mar04a.cha, line 1010 · Marie 1;01
  1. french/lyon_mar04a.cha, line 1010 · Marie, 1;1.28
    MOToui . 843760_846595
    MOTlà c'est qui [= ! chuchote] ? 846595_848351
    MOT*MOT: oup oup oup oup oup pourquoi tu fais ça ? 848351_850426
    CHIwww [= ! râle] .
    MOTpourquoi tu chiffonnes les photos ? 850426_854513

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 french2.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar04a.chaMarie 1;1.281,863152.68

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. oup5 · 100.0%