PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

7.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (126 utterances, 392 words searched).

  1. alors montre moi comment tu les mets . 6562_9962 MOT · french/lyon_nat14a.cha, line 17 · Nathan 1;07
  2. va chercher les chaussons alors Nanou . 91480_102265 MOT · french/lyon_nat14a.cha, line 74 · Nathan 1;07
  3. alors toi tu prends . 728937_732483 JEA · french/lyon_nat14a.cha, line 268 · Nathan 1;07
  1. MOTwww [= ! chante] . 0_6562
    MOT*MOT: alors montre moi comment tu les mets . 6562_9962
    MOTpapa m'a dit qu(e) tu les www [= ! li] a mise hier . 9962_11655
    MOTc'est pas le bon pied tu vois . 11655_15163
  2. MOTtu essaies . 89390_89975
    MOTsur ce pieds là . 89975_91480
    MOT*MOT: va chercher les chaussons alors Nanou . 91480_102265
    MOTwww [= ! chante] . 102265_115635
    MOTtu danses Nanou . 115635_118662
  3. CHIyyy .
    MOT+< eh eh . 722158_728937
    JEA*JEA: alors toi tu prends . 728937_732483
    MOTnon pas l(e) noir .
    MOTje prends le jaune . 732483_769270

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 french7.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat14a.chaNathan 1;7.8392337.65

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. alors3 · 100.0%