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. je veux retirer . 1019555_1021068 CHI · french/lyon_mar11b.cha, line 945 · Marie 1;07
  2. je veux ‹retirer [= ! s'enerve]› . 1021065_1023918 CHI · french/lyon_mar11b.cha, line 950 · Marie 1;07
  3. veux . CHI · french/lyon_mar11b.cha, line 1257 · Marie 1;07
  1. CHIheuh papa . 1014863_1017386
    CHIretirer . 1017386_1019558
    CHI*CHI: je veux retirer . 1019555_1021068
    CHIje veux ‹retirer [= ! s'enerve]› . 1021065_1023918
    CHIheuh . 1023915_1024318
  2. 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
  3. MOTattention .
    MOT(.) ben alors [>] <j(e) te> [/] j(e) te laisse celle-ci si tu veux . 1203390_1206115
    CHI*CHI: veux .
    MOT(.) voilà . 1206115_1208140
    MOT(..) tu r(e)viens par là ? 1208140_1215315

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. veux3 · 100.0%