PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,535 words searched).

  1. comment elle se met sa ceinture ? MOT · french/lyon_ana22a.cha, line 713 · Anais 2;00
  2. ah , elle se tait , hein ! 1349185_1353450 MOT · french/lyon_ana22a.cha, line 1589 · Anais 2;00
  3. comme ça elle se taira ! MOT · french/lyon_ana22a.cha, line 1603 · Anais 2;00
  1. CHI‹yyy [//]› . 605113_607842
    MOT+< attends .
    MOT*MOT: comment elle se met sa ceinture ?
    CHI‹non [/]› non les chaussures ‹non [/]› yyy yyy chaussures ! 607842_612790
    CHIencore ! 612790_614923
  2. MOThop ! 1335483_1338358
    MOTc'est où [//] tu m(e) marches sur mon pied , ninine@f ! 1345678_1349185
    MOT*MOT: ah , elle se tait , hein ! 1349185_1353450
    MOTfais voir l'aut(r)e côté ? 1356865_1360060
    MOTenlève tes mains ! 1360060_1361163
  3. CHI<mets là> [?] ? 1369805_1372633
    MOTbon alors on va enlever le disque , hein .
    MOT*MOT: comme ça elle se taira !
    MOThop , là ! 1372633_1376730
    MOTsilence ! 1376730_1378193

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 french1.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana22a.chaAnais 2;0.151,535331.95

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. se3 · 100.0%