PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (362 utterances, 1,056 words searched).

  1. mon p(e)tit cabri ! MOT · french/lyon_ana04b.cha, line 50 · Anais 1;01
  2. mais non , c'est pas Chl mon www [= ! li] ange ! 359777_363620 MOT · french/lyon_ana04b.cha, line 350 · Anais 1;01
  3. hou@i là [//] hou@i là là , ben là t(u) es coincée mon coeur . MOT · french/lyon_ana04b.cha, line 1013 · Anais 1;01
  1. MOTallez , viens ! 40205_44100
    CHIwww [= ! gémit] .
    MOT*MOT: mon p(e)tit cabri !
    CHIyyy . 44100_47367
    MOTah !
  2. MOTqui c'est que tu as entendu Ana ?
    CHIyyy . 357765_359767
    MOT*MOT: mais non , c'est pas Chl mon www [= ! li] ange ! 359777_363620
    CHIyyy . 363632_378172
    MOTtu casses tout ! 378183_381173
  3. CHIyyy . 1084993_1088237
    MOToh ! 1088237_1092765
    MOT*MOT: hou@i là [//] hou@i là là , ben là t(u) es coincée mon coeur .
    MOTattends ! 1092765_1096140
    MOTpar où on +//?

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 french2.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana04b.chaAnais 1;1.271,056332.84

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. mon3 · 100.0%