PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (406 utterances, 1,007 words searched).

  1. mm: ça c'est bon ça . 471497_472973 GER · french/lyon_ana03b.cha, line 563 · Anais 1;01
  2. c'est bon . 1314405_1315133 MOT · french/lyon_ana03b.cha, line 1124 · Anais 1;01
  3. bon . 1463627_1464883 MOT · french/lyon_ana03b.cha, line 1271 · Anais 1;01
  1. GERhop .
    GERy a la chaise haute là .
    GER*GER: mm: ça c'est bon ça . 471497_472973
    GERça s(e) mange hein . 472973_474667
    GERtu vois , ça c'est pour mett(r)e là . 474667_480278
  2. CHI‹yyy [= ! gémit]› . 1301907_1307557
    MOTouais . 1307557_1314405
    MOT*MOT: c'est bon . 1314405_1315133
    MOTwww [= ! souffle] . 1315133_1322787
    CHIwww [= ! gémit] . 1322787_1333863
  3. GERwww [= ! rit] .
    MOTstop . 1462455_1463627
    MOT*MOT: bon . 1463627_1464883
    MOTtu rang(e)ras une aut(r)e fois . 1464883_1467808
    CHIwww [= ! gémit] . 1499320_1500028

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 french2.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana03b.chaAnais 1;1.131,007332.98

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. bon3 · 100.0%