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_mar42a.cha change

Searching only french/lyon_mar42a.cha. Search all transcripts instead

4 matches in 3 utterances

6.28 per 1,000 words of the child (CHI), in 1 of 1 transcripts (165 utterances, 637 words searched).

Concordance Utterances Distribution Matched forms

+< ‹non [/] (.)› non c'est qu(e) <je veux> [/] (.) je veux ‹faire (.)› euh +/. CHI · french/lyon_mar42a.cha, line 450 · Marie 3;07
+< ‹non [/] (.)› non c'est qu(e) <je veux> [/] (.) je veux ‹faire (.)› euh +/. CHI · french/lyon_mar42a.cha, line 450 · Marie 3;07
mais c'est moi qui veux la faire . CHI · french/lyon_mar42a.cha, line 802 · Marie 3;07
+< moi j(e) veux mettre des fruits dedans . CHI · french/lyon_mar42a.cha, line 1450 · Marie 3;07

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

per 1,000 words

02468

3;063;073;083;09

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_mar42a.cha	Marie	3;7.16	637	3	4	6.28

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