PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/mtln_vanessa2-33.cha change

Searching only french/mtln_vanessa2-33.cha. Search all transcripts instead

5 matches in 5 utterances

7.13 per 1,000 words of the child (CHI), in 1 of 1 transcripts (182 utterances, 701 words searched).

Concordance Utterances Distribution Matched forms

oh maintenant va se coucher . CHI · french/mtln_vanessa2-33.cha, line 8 · VanessaL2 2;09
oh le canapé il est là . CHI · french/mtln_vanessa2-33.cha, line 67 · VanessaL2 2;09
oh là ! CHI · french/mtln_vanessa2-33.cha, line 334 · VanessaL2 2;09
oh regarde ! CHI · french/mtln_vanessa2-33.cha, line 377 · VanessaL2 2;09
oh ! CHI · french/mtln_vanessa2-33.cha, line 383 · VanessaL2 2;09

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

2;082;092;10

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/mtln_vanessa2-33.cha	VanessaL2	2;9.	701	5	5	7.13

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