PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (362 utterances, 1,328 words searched).

  1. non tu les gardes ? 920232_920887 MOT · french/lyon_ana11a.cha, line 656 · Anais 1;05
  2. tu le gardes ? 931150_932345 MOT · french/lyon_ana11a.cha, line 670 · Anais 1;05
  3. tu les gardes ? 1157245_1159948 MOT · french/lyon_ana11a.cha, line 898 · Anais 1;05
  1. MOTtu m(e) donnes ? 916855_919202
    CHInon . 919202_920232
    MOT*MOT: non tu les gardes ? 920232_920887
    CHInon . 920887_928925
    MOTle marron ?
  2. MOTje mets là ? 928925_929907
    CHInon . 929907_931150
    MOT*MOT: tu le gardes ? 931150_932345
    CHIlà . 932345_934002
    MOTlà d'accord , je vais le re(mettre) [//] je vais le mettre xxx . 934002_936792
  3. CHInon . 1154975_1155687
    MOTmets les dedans . 1155687_1157245
    MOT*MOT: tu les gardes ? 1157245_1159948
    MOToh mademoiselle non . 1159948_1162207
    CHI‹là [/] (.)› là . 1162207_1165920

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 french2.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana11a.chaAnais 1;5.191,328332.26

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. gardes3 · 100.0%