PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (330 utterances, 1,299 words searched).

  1. là tu [/] tu fermes là . 481018_484282 MOT · french/lyon_mar12a.cha, line 629 · Marie 1;07
  2. voilà là tu fermes . 527045_532387 MOT · french/lyon_mar12a.cha, line 668 · Marie 1;07
  3. dans c(e) sens là c'est qu(e) tu fermes . 558753_561237 MOT · french/lyon_mar12a.cha, line 687 · Marie 1;07
  1. MOTcomment on fait ? 472930_474403
    MOTah non c'est pas dans c(e) sens là . 474403_481018
    MOT*MOT: là tu [/] tu fermes là . 481018_484282
    MOTouais dans l'aut(re) sens . 484282_486543
    MOTvoilà . 486543_494095
  2. CHIyyy . 523102_527045
    MOTtu vas y arriver tiens regarde !
    MOT*MOT: voilà là tu fermes . 527045_532387
    CHIyyy . 532387_545062
    MOTmh .
  3. MOTle doudou .
    MOTah là il est complèt(e)ment fermé . 555967_558753
    MOT*MOT: dans c(e) sens là c'est qu(e) tu fermes . 558753_561237
    CHIyyy . 561237_581252
    CHIyyy .

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. Marie french2.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar12a.chaMarie 1;7.261,299332.31

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. fermes3 · 100.0%