PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (406 utterances, 1,200 words searched).

  1. tu mets ta main comme ça et moi j(e) la mets . 1009342_1011835 MOT · french/lyon_nat04a.cha, line 656 · Nathan 1;01
  2. tu mets ta main comme ça et moi j(e) la mets . 1009342_1011835 MOT · french/lyon_nat04a.cha, line 656 · Nathan 1;01
  3. tu les mets aussi ? 1095392_1144480 MOT · french/lyon_nat04a.cha, line 702 · Nathan 1;01
  1. MOTNat . 1007513_1008452
    MOTr(e)garde ! 1008452_1009342
    MOT*MOT: tu mets ta main comme ça et moi j(e) la mets . 1009342_1011835
    MOThop . 1011835_1013325
    MOThop . 1013325_1015510
  2. CHIwww [= ! pleurniche] . 1093188_1095392
    MOTet les www [= ! li] aut(res) ?
    MOT*MOT: tu les mets aussi ? 1095392_1144480
    MOToù tu vas Nat ? 1144480_1149623
    MOTnon [/] non [/] non .

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 french2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat04a.chaNathan 1;1.241,200232.50

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. mets3 · 100.0%