PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (436 utterances, 1,484 words searched).

  1. tu vas la chercher la remorque là-bas ? 1618973_1621958 MOT · french/lyon_tim17b.cha, line 2176 · Tim 1;08
  2. tu vas chercher la remorque ? MOT · french/lyon_tim17b.cha, line 2182 · Tim 1;08
  3. tu vas l(e) chercher ? 1704027_1705455 MOT · french/lyon_tim17b.cha, line 2258 · Tim 1;08
  1. CHIoui . 1616135_1618973
    MOTet la remorque ?
    MOT*MOT: tu vas la chercher la remorque là-bas ? 1618973_1621958
    MOTfaut [?] p(eu)t-êt(re) l'accrocher derrière . 1621958_1625243
    MOTtu vas chercher la remorque ?
  2. MOTtu vas la chercher la remorque là-bas ? 1618973_1621958
    MOTfaut [?] p(eu)t-êt(re) l'accrocher derrière . 1621958_1625243
    MOT*MOT: tu vas chercher la remorque ?
    CHIoui . 1625243_1632462
    CHIyyy . 1632462_1636647
  3. CHIfini . 1695410_1704027
    MOTc'est fini .
    MOT*MOT: tu vas l(e) chercher ? 1704027_1705455
    CHIoui . 1705455_1707670
    MOToui . 1707670_1708357

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 french2.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim17b.chaTim 1;8.111,484332.02

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. chercher3 · 100.0%