PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (203 utterances, 555 words searched).

  1. mets dedans ! 946005_950850 MOT · french/lyon_ana02b.cha, line 684 · Anais 1;00
  2. mets dedans ! 992170_998883 MOT · french/lyon_ana02b.cha, line 703 · Anais 1;00
  3. qu'est-ce (que) t(u) y avais mis dedans ? 1460285_1470143 MOT · french/lyon_ana02b.cha, line 961 · Anais 1;00
  1. MOToui !
    CHIxxx . 942787_946003
    MOT*MOT: mets dedans ! 946005_950850
    CHIyyy . 950850_951962
    MOToui . 951975_955970
  2. CHIyyy . 959963_972563
    MOTxxx orange ! 972563_992170
    MOT*MOT: mets dedans ! 992170_998883
    MOTwww [= ! rigole] .
    MOTon ferme ! 1005113_1008235
  3. MOTvoilà ! 1427380_1438665
    MOTtu montes dessus ? 1438665_1460283
    MOT*MOT: qu'est-ce (que) t(u) y avais mis dedans ? 1460285_1470143
    MOToh !
    MOTmhm: , c'est pour tenir la tutu ça . 1470153_1497545

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 french5.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana02b.chaAnais 1;0.23555335.41

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. dedans3 · 100.0%