PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat17a.cha change

Searching only french/lyon_nat17a.cha. Search all transcripts instead

5 matches in 4 utterances

5.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 903 words searched).

Concordance Utterances Distribution Matched forms

+< <viens me voir> [/] viens me voir . 505637_514122 MOT · french/lyon_nat17a.cha, line 213 · Nathan 1;09
+< <viens me voir> [/] viens me voir . 505637_514122 MOT · french/lyon_nat17a.cha, line 213 · Nathan 1;09
fais voir ? 514122_516372 MOT · french/lyon_nat17a.cha, line 215 · Nathan 1;09
Touti t(u) vas voir va p(e)ti(te) fripouille . 657140_663533 MOT · french/lyon_nat17a.cha, line 309 · Nathan 1;09
pou(r) voir +... 1285202_1293633 MOT · french/lyon_nat17a.cha, line 796 · Nathan 1;09

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0246

1;081;091;101;11

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/lyon_nat17a.cha	Nathan	1;9.3	903	4	5	5.54

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.