PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. trois minutes oui . MOT · french/lyon_mas25a.cha, line 482 · Marilyn 2;01
  2. trois . 910697_912330 MOT · french/lyon_mas25a.cha, line 648 · Marilyn 2;01
  3. trois . 962703_964062 MOT · french/lyon_mas25a.cha, line 705 · Marilyn 2;01
  4. trois oeufs . 964062_966980 MOT · french/lyon_mas25a.cha, line 707 · Marilyn 2;01
  1. CHIMarie yyy .
    CHItrois minutes . 699940_705862
    MOT*MOT: trois minutes oui .
    CHIyyy . 705862_708012
    CHIsucre sucre .
  2. MOTun . 906798_908278
    MOTdeux . 908278_910697
    MOT*MOT: trois . 910697_912330
    CHIun [?] . 912330_913687
    CHImaman .
  3. CHIencore peu .
    MOT0 . 960142_962703
    MOT*MOT: trois . 962703_964062
    MOTtrois oeufs . 964062_966980
    CHImain là .
  4. MOT0 . 960142_962703
    MOTtrois . 962703_964062
    MOT*MOT: trois oeufs . 964062_966980
    CHImain là .
    MOTta main . 966980_969902

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;1.173044413.16

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. trois4 · 100.0%