PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

13.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 304 words searched).

  1. pas encore non . 778187_780467 MOT · french/lyon_mas25a.cha, line 538 · Marilyn 2;01
  2. non pas dans la bouche . 974847_981805 MOT · french/lyon_mas25a.cha, line 720 · Marilyn 2;01
  3. non non . 1298677_1300852 MOT · french/lyon_mas25a.cha, line 968 · Marilyn 2;01
  4. non non . 1298677_1300852 MOT · french/lyon_mas25a.cha, line 968 · Marilyn 2;01
  1. MOT0 . 776677_778187
    CHIpas encore fini .
    MOT*MOT: pas encore non . 778187_780467
    CHIMarie .
    MOTvoilà . 780467_785447
  2. MOT0 . 969902_971742
    MOTallez . 971742_974847
    MOT*MOT: non pas dans la bouche . 974847_981805
    MOTtu tournes . 981805_983092
    MOT0 . 983092_987462
  3. MOT0 . 1293862_1295570
    MOT0 . 1295570_1298677
    MOT*MOT: non non . 1298677_1300852
    MOTtrès bien . 1300852_1303075
    CHIMarie . 1303075_1309635

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. Marilyn french13.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mas25a.chaMarilyn 2;1.173043413.16

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. non4 · 100.0%