PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (467 utterances, 1,766 words searched).

  1. un p(e)tit trou ? 106546_107958 MOT · french/lyon_tim08a.cha, line 188 · Tim 1;03
  2. un p(e)tit trou ? 107958_110381 MOT · french/lyon_tim08a.cha, line 190 · Tim 1;03
  3. xxx un trou . 1369108_1370876 MOT · french/lyon_tim08a.cha, line 1722 · Tim 1;03
  4. un trou ? 1370876_1372995 MOT · french/lyon_tim08a.cha, line 1724 · Tim 1;03
  5. un trou , deux trous . 1377390_1379470 MOT · french/lyon_tim08a.cha, line 1737 · Tim 1;03
  1. CHImhm . 102428_104943
    CHIeh ! 104943_106546
    MOT*MOT: un p(e)tit trou ? 106546_107958
    MOTun p(e)tit trou ? 107958_110381
    CHIeh !
  2. CHIeh ! 104943_106546
    MOTun p(e)tit trou ? 106546_107958
    MOT*MOT: un p(e)tit trou ? 107958_110381
    CHIeh !
    MOToui . 110380_112708
  3. CHItrou trou trou . 1363873_1368433
    MOTkra@c [= ! imite Tim] ? 1368433_1369108
    MOT*MOT: xxx un trou . 1369108_1370876
    MOTun trou ? 1370876_1372995
    CHItrou . 1372995_1374195
  4. MOTkra@c [= ! imite Tim] ? 1368433_1369108
    MOTxxx un trou . 1369108_1370876
    MOT*MOT: un trou ? 1370876_1372995
    CHItrou . 1372995_1374195
    CHIyyy yyy . 1374195_1376955
  5. CHIyyy yyy . 1374195_1376955
    CHIyyy . 1376955_1377390
    MOT*MOT: un trou , deux trous . 1377390_1379470
    CHIyyy yyy . 1379470_1381831
    MOToui . 1381831_1383788

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 french2.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim08a.chaTim 1;3.231,766552.83

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. trou5 · 100.0%