PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (251 utterances, 891 words searched).

  1. je le garde ? 581620_583038 MOT · french/lyon_mar01b.cha, line 418 · Marie 1;00
  2. je l(e) garde ? 1240355_1242428 MOT · french/lyon_mar01b.cha, line 830 · Marie 1;00
  3. (...) je garde ? 1242428_1244668 MOT · french/lyon_mar01b.cha, line 832 · Marie 1;00
  1. MOTvoilà . 570678_572420
    MOTtu m(e) donnes <le poul(et)> [//] le lapin ? 572420_581620
    MOT*MOT: je le garde ? 581620_583038
    MOTla chèvre aussi ? 583038_588758
    MOTbêe@o . 588758_593223
  2. MOT(...) tu peux le redéplier aussi si tu veux . 1232025_1237433
    MOTmerci Mar: . 1237433_1240355
    MOT*MOT: je l(e) garde ? 1240355_1242428
    MOT(...) je garde ? 1242428_1244668
    CHI‹non [?]› . 1244668_1246236
  3. MOTmerci Mar: . 1237433_1240355
    MOTje l(e) garde ? 1240355_1242428
    MOT*MOT: (...) je garde ? 1242428_1244668
    CHI‹non [?]› . 1244668_1246236
    MOTnon .

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. Marie french3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar01b.chaMarie 1;0.2891333.37

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. garde3 · 100.0%