PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

15.15 per 1,000 words of the child (CHI), in 1 of 1 transcripts (217 utterances, 198 words searched).

  1. retirer . 1017386_1019558 CHI · french/lyon_mar11b.cha, line 940 · Marie 1;07
  2. je veux retirer . 1019555_1021068 CHI · french/lyon_mar11b.cha, line 945 · Marie 1;07
  3. je veux ‹retirer [= ! s'enerve]› . 1021065_1023918 CHI · french/lyon_mar11b.cha, line 950 · Marie 1;07
  1. MOT(.) tu veux qu(e) je parte ? 1013918_1014863
    CHIheuh papa . 1014863_1017386
    CHI*CHI: retirer . 1017386_1019558
    CHIje veux retirer . 1019555_1021068
    CHIje veux ‹retirer [= ! s'enerve]› . 1021065_1023918
  2. CHIheuh papa . 1014863_1017386
    CHIretirer . 1017386_1019558
    CHI*CHI: je veux retirer . 1019555_1021068
    CHIje veux ‹retirer [= ! s'enerve]› . 1021065_1023918
    CHIheuh . 1023915_1024318
  3. CHIretirer . 1017386_1019558
    CHIje veux retirer . 1019555_1021068
    CHI*CHI: je veux ‹retirer [= ! s'enerve]› . 1021065_1023918
    CHIheuh . 1023915_1024318
    MOTtu veux mettre mon manteau ? 1024318_1025633

Matches by age

One dot per transcript: matches per 1,000 words of the child (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 french15.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar11b.chaMarie 1;7.121983315.15

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. retirer3 · 100.0%