PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (490 utterances, 2,074 words searched).

  1. eh attention à c(e) que tu dis hein . 485430_489247 MOT · french/lyon_tim33b.cha, line 677 · Tim 2;06
  2. oh attention . 613240_614157 MOT · french/lyon_tim33b.cha, line 809 · Tim 2;06
  3. attention hein ! 1298933_1300880 MOT · french/lyon_tim33b.cha, line 1463 · Tim 2;06
  1. CHIyyy arracher une page . 482685_484723
    MOTbah ! 484723_485430
    MOT*MOT: eh attention à c(e) que tu dis hein . 485430_489247
    CHIyyy arracher une page . 489247_491387
    CHIxxx . 491387_495957
  2. CHIyyy . 602640_605338
    CHI‹yyy [= ! chuchote]› . 605338_613240
    MOT*MOT: oh attention . 613240_614157
    CHIoh cassé ! 614157_617910
    MOToh tu f(e)rais pas un peu exprès ? 617910_620397
  3. CHI<ça fait> [/] ça fait mal aux ‹www [= ! li]› oreilles . 1296405_1298933
    MOT+< (a)ttention hein !
    MOT*MOT: attention hein ! 1298933_1300880
    MOToh ! 1313960_1314685
    CHIà moi . 1314685_1317207

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 french1.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim33b.chaTim 2;6.32,074331.45

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. attention3 · 100.0%