PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (549 utterances, 1,498 words searched).

  1. Ana , viens me faire un bisou ! 88305_90053 FAT · french/lyon_ana20a.cha, line 185 · Anais 1;11
  2. me(r)ci: . 865878_867168 MOT · french/lyon_ana20a.cha, line 1867 · Anais 1;11
  3. +< tu me fais du thé ? MOT · french/lyon_ana20a.cha, line 2854 · Anais 1;11
  1. CHIà moi . 86463_87147
    FAT<à moi> [/] <à moi> [/] www [= ! reprend ce que vient de dire Ana] . 87147_88305
    FAT*FAT: Ana , viens me faire un bisou ! 88305_90053
    FAT(..) au_r(e)voir Ana . 90053_93625
    MOTau_r(e)voi:r . 98440_99622
  2. MOTmerci . 862902_864128
    CHI‹non [= ! voix basse]› . 864128_865878
    MOT*MOT: me(r)ci: . 865878_867168
    CHIà ‹moi [/]› à moi . 867168_869680
    MOT+< à toi .
  3. MOToui . 1370665_1371225
    CHI‹(.) ça› . 1371225_1374555
    MOT*MOT: +< tu me fais du thé ?
    CHIça . 1374555_1375345
    MOTc'est mon verre ? 1375345_1375957

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 french2.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana20a.chaAnais 1;11.111,498332.00

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. me3 · 100.0%