PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,131 words searched).

  1. excuse moi . MOT · french/lyon_tim25b.cha, line 62 · Tim 2;00
  2. j(e) fais une tour moi aussi ? 754940_756396 MOT · french/lyon_tim25b.cha, line 1334 · Tim 2;00
  3. tiens bah moi j(e) vais m'amuser alors (.) en attendant . 1020515_1023035 MOT · french/lyon_tim25b.cha, line 1799 · Tim 2;00
  1. MOTj(e) suis cassée . 30991_31913
    MOToh ! 31910_33151
    MOT*MOT: excuse moi .
    CHIwww [= ! gémit] . 33151_35706
    CHI0je vais remettre . 35706_37630
  2. MOTnon ? 752995_753505
    CHIça . 753505_754941
    MOT*MOT: j(e) fais une tour moi aussi ? 754940_756396
    MOToh là [>] là . 756396_757985
    CHI‹non [<]› .
  3. CHIoui . 1012908_1015433
    MOTwww [= ! renifle] . 1015433_1016995
    MOT*MOT: tiens bah moi j(e) vais m'amuser alors (.) en attendant . 1020515_1023035
    MOTt(u) essayes de mettre les +/. 1028958_1031513
    MOTnon ? 1031513_1032510

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 french2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim25b.chaTim 2;0.271,131332.65

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. moi3 · 100.0%