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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Context

Ignore case Whole words

Scope One transcript: french/york_mona029.cha change

Searching only french/york_mona029.cha. Search all transcripts instead

4 matches in 4 utterances

4.16 per 1,000 words of the child (CHI), in 1 of 1 transcripts (334 utterances, 962 words searched).

Concordance Utterances Distribution Matched forms

oh d'abord toi , ça va être lui . 529935_532925 CHI · french/york_mona029.cha, line 564 · Max 2;10
ça va être lui . 536041_538358 CHI · french/york_mona029.cha, line 571 · Max 2;10
et puis moi , je <va> [%sdi: vais] être euh lui . 541010_546865 CHI · french/york_mona029.cha, line 577 · Max 2;10
et puis toi , tu vas être lui . 547496_550444 CHI · french/york_mona029.cha, line 582 · Max 2;10

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

per 1,000 words

012345

2;092;102;113;00

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/york_mona029.cha	Max	2;10.24	962	4	4	4.16

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