PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (350 utterances, 1,423 words searched).

  1. vas_y . 715702_718555 MOT · french/lyon_nat35a.cha, line 478 · Nathan 2;07
  2. vas_y [/] vas_y . 1094323_1095982 MOT · french/lyon_nat35a.cha, line 815 · Nathan 2;07
  3. vas_y [/] vas_y . 1094323_1095982 MOT · french/lyon_nat35a.cha, line 815 · Nathan 2;07
  4. alors vas_y . MOT · french/lyon_nat35a.cha, line 1255 · Nathan 2;07
  1. french/lyon_nat35a.cha, line 478 · Nathan, 2;7.6
    MOTou tu les mets à côté .
    MOTlà .
    MOT*MOT: vas_y . 715702_718555
    MOTcherche celles qui n' ont pas de points .
    CHIyyy . 718555_720982
  2. french/lyon_nat35a.cha, line 815 · Nathan, 2;7.6
    MOTqu'est-ce que c'est ça Nanou ?
    CHIça ? 1089955_1094323
    MOT*MOT: vas_y [/] vas_y . 1094323_1095982
    MOTc'était bien .
    MOTcontinue . 1095982_1097607
  3. french/lyon_nat35a.cha, line 1255 · Nathan, 2;7.6
    MOTon le fait là ? 1542863_1546467
    CHImhm . 1546467_1549492
    MOT*MOT: alors vas_y .
    MOTattends . 1549492_1566877
    MOTon va mettre ça (.) à côté .

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 french2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat35a.chaNathan 2;7.61,423342.81

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. vas_y4 · 100.0%