PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (215 utterances, 892 words searched).

  1. allez <on enlève le tee_shirt@s:eng> [/] on enlève le tee_shirt@s:eng . MOT · french/lyon_nat35b.cha, line 803 · Nathan 2;07
  2. allez <on enlève le tee_shirt@s:eng> [/] on enlève le tee_shirt@s:eng . MOT · french/lyon_nat35b.cha, line 803 · Nathan 2;07
  3. enlève moi ça . MOT · french/lyon_nat35b.cha, line 907 · Nathan 2;07
  1. french/lyon_nat35b.cha, line 803 · Nathan, 2;7.6
    CHInon . 887187_888187
    MOTtu veux pas ? 888187_892603
    MOT*MOT: allez <on enlève le tee_shirt@s:eng> [/] on enlève le tee_shirt@s:eng .
    CHInon ! 892603_896458
    MOTeh mais après tu vas pouvoir regarder Némo .
  2. french/lyon_nat35b.cha, line 907 · Nathan, 2;7.6
    MOToui .
    MOTallez . 962883_964888
    MOT*MOT: enlève moi ça .
    MOTmais <il est presque> [/] il est presque trop petit ce slip en fait hein ? 964888_968130
    MOTJea il était moins gros que toi hein ? 968130_970323

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 french3.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat35b.chaNathan 2;7.6892233.36

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. enlève3 · 100.0%