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/lyon_nat15b.cha change

Searching only french/lyon_nat15b.cha. Search all transcripts instead

2 matches in 2 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 736 words searched).

Concordance Utterances Distribution Matched forms

et puis on va s(e) préparer +//. MOT · french/lyon_nat15b.cha, line 536 · Nathan 1;07
tu viens préparer le bain avec moi ? 857178_866825 MOT · french/lyon_nat15b.cha, line 557 · Nathan 1;07

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

per 1,000 words

0123

1;061;071;081;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_nat15b.cha	Nathan	1;7.22	736	2	2	2.72

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