PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (223 utterances, 693 words searched).

  1. eh bah . MOT · french/lyon_tim02b.cha, line 29 · Tim 1;00
  2. eh bah t(u) es zen@s:jpn hein . MOT · french/lyon_tim02b.cha, line 153 · Tim 1;00
  3. eh tu me dis au_r(e)voir . 666958_668198 VAL · french/lyon_tim02b.cha, line 593 · Tim 1;00
  1. CHIwww [= ! hoquet] . 20991_22670
    CHIwww [= ! gémit] . 22670_24956
    MOT*MOT: eh bah .
    MOTc'est calme hein .
    MOTon va s'endormir hein . 24953_29343
  2. MOTtrop gros ? 212906_214358
    MOToh oh , ça tombe là . 223318_225270
    MOT*MOT: eh bah t(u) es zen@s:jpn hein .
    MOTsi c'était tout l(e) temps comme ça hein . 225270_231753
    MOTwww [= ! rit] .
  3. VALdès qu(e) tu parles j'allume la caméra . 652301_654905
    VALd'accord ? 654905_656628
    VAL*VAL: eh tu me dis au_r(e)voir . 666958_668198
    MOTwww [= ! rit] .
    MOThein , tu dis au_r(e)voir . 668195_670786

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 french4.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim02b.chaTim 1;0.14693334.33

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. eh3 · 100.0%