PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,535 words searched).

  1. tu veux les enlever ? MOT · french/lyon_ana22a.cha, line 637 · Anais 2;00
  2. faut enlever la ceinture avant de tout www [= ! li] arracher Chi ! 882522_887642 MOT · french/lyon_ana22a.cha, line 1048 · Anais 2;00
  3. bon alors on va enlever le disque , hein . MOT · french/lyon_ana22a.cha, line 1600 · Anais 2;00
  1. MOTla chaussure s'est enlevée , voilà ! 543257_545150
    CHIveut enlever yyy . 545150_551962
    MOT*MOT: tu veux les enlever ?
    CHIwww [= ! acquiesce] !
    MOTeh ben , tu défais là , regarde .
  2. CHIyyy .
    MOTelle est attaché .
    MOT*MOT: faut enlever la ceinture avant de tout www [= ! li] arracher Chi ! 882522_887642
    CHI‹voilà [?]› ! 887642_890147
    MOTt'as enl(e)vé la ceinture ? 890147_893328
  3. MOTenlève tes mains ! 1360060_1361163
    CHI<mets là> [?] ? 1369805_1372633
    MOT*MOT: bon alors on va enlever le disque , hein .
    MOTcomme ça elle se taira !
    MOThop , là ! 1372633_1376730

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 french1.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana22a.chaAnais 2;0.151,535331.95

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. enlever3 · 100.0%