PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (500 utterances, 1,663 words searched).

  1. du savon . 244113_245538 MOT · french/lyon_ana25a.cha, line 212 · Anais 2;02
  2. savon . MOT · french/lyon_ana25a.cha, line 1775 · Anais 2;02
  3. le savon , là , oui . MOT · french/lyon_ana25a.cha, line 2635 · Anais 2;02
  4. oui j'ai vu l(e) savon . MOT · french/lyon_ana25a.cha, line 2649 · Anais 2;02
  1. MOTet ça ? 242866_244113
    CHImhm .
    MOT*MOT: du savon . 244113_245538
    CHIyyy . 245538_246501
    CHIça . 246500_249278
  2. MOTdentifrice oui . 1044033_1048017
    CHIlà .
    MOT*MOT: savon .
    CHI+< yyy .
    CHIlà .
  3. CHI+< yyy .
    CHIsavon là .
    MOT*MOT: le savon , là , oui .
    CHIsavon là .
    CHIsavon là . 1431472_1437303
  4. CHIsavon là . 1431472_1437303
    CHIlà savon .
    MOT*MOT: oui j'ai vu l(e) savon .
    CHIsavon là .
    MOToui (.) j'ai vu . 1437303_1444947

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 french2.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana25a.chaAnais 2;2.251,663442.41

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. savon4 · 100.0%