PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (349 utterances, 929 words searched).

  1. viens voir Mar ? 1559715_1562315 GER · french/lyon_mar03b.cha, line 1598 · Marie 1;01
  2. tu viens voir ? 1565918_1569187 GER · french/lyon_mar03b.cha, line 1604 · Marie 1;01
  3. (.) tu viens te voir dedans ? GER · french/lyon_mar03b.cha, line 1606 · Marie 1;01
  1. french/lyon_mar03b.cha, line 1598 · Marie, 1;1.16
    MOT(.) j(e) le prends ? 1557527_1559715
    CHI+< xxx .
    GER*GER: viens voir Mar ? 1559715_1562315
    GERMar . 1562315_1563980
    GERc'est la xxx . 1563980_1565918
  2. french/lyon_mar03b.cha, line 1604 · Marie, 1;1.16
    GERMar . 1562315_1563980
    GERc'est la xxx . 1563980_1565918
    GER*GER: tu viens voir ? 1565918_1569187
    GER(.) tu viens te voir dedans ?
    GERnon ? 1569187_1570468
  3. french/lyon_mar03b.cha, line 1606 · Marie, 1;1.16
    GERc'est la xxx . 1563980_1565918
    GERtu viens voir ? 1565918_1569187
    GER*GER: (.) tu viens te voir dedans ?
    GERnon ? 1569187_1570468
    MOTregarde ! 1570468_1571667

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 french3.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar03b.chaMarie 1;1.16929333.23

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. viens3 · 100.0%