PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (466 utterances, 2,150 words searched).

  1. attention tu vas (.) tomber . MOT · french/lyon_tim20a.cha, line 44 · Tim 1;10
  2. bon (.) attention là . MOT · french/lyon_tim20a.cha, line 614 · Tim 1;10
  3. …n celles de Kirikou il les a pas cassées lui justement il a fait bien attention . 1075318_1079428 MOT · french/lyon_tim20a.cha, line 1625 · Tim 1;10
  1. CHInon: .
    MOTallez viens on va jouer . 15258_17863
    MOT*MOT: attention tu vas (.) tomber .
    MOTtu vas t(e) faire mal là . 17863_20988
    MOTj(e) vais t'arracher l(e) bras là encore .
  2. MOTt(u) es prêt ? 437100_443368
    CHIoui .
    MOT*MOT: bon (.) attention là .
    MOTohlàlà la soupe . 443368_447480
    CHIla ‹soupe [/]› soupe . 447480_450130
  3. MOTles poteries . 1070870_1073145
    CHIcassé . 1073145_1075318
    MOT*MOT: non celles de Kirikou il les a pas cassées lui justement il a fait bien attention . 1075318_1079428
    CHIcassé .
    MOTvoilà .

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 french1.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim20a.chaTim 1;10.42,150331.40

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. attention3 · 100.0%