PHPCLANCHILDES with regular expressions

5 matches in 2 utterances

3.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (306 utterances, 1,392 words searched).

  1. allez houp houp houp houp . MOT · french/lyon_tim12a.cha, line 1061 · Tim 1;05
  2. allez houp houp houp houp . MOT · french/lyon_tim12a.cha, line 1061 · Tim 1;05
  3. allez houp houp houp houp . MOT · french/lyon_tim12a.cha, line 1061 · Tim 1;05
  4. allez houp houp houp houp . MOT · french/lyon_tim12a.cha, line 1061 · Tim 1;05
  5. houp . 1625868_1627618 MOT · french/lyon_tim12a.cha, line 1332 · Tim 1;05
  1. MOTnon non ça suffit l(e) pain .
    MOTouh la la: . 1346417_1349718
    MOT*MOT: allez houp houp houp houp .
    CHImaman .
    MOTqu'est-c(e) qu'(il) y a ? 1349718_1353517
  2. MOTet comment t(u) appelles ça ? 1621367_1623003
    MOTnon mais pas comment elle s'appelle (.) Val . 1623003_1625868
    MOT*MOT: houp . 1625868_1627618
    VALtu vois hein (il) y a des pieds là .
    VALfaut faire attention . 1627620_1634140

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. Tim french3.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim12a.chaTim 1;5.251,392253.59

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. houp5 · 100.0%