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_nat39a.cha change

Searching only french/lyon_nat39a.cha. Search all transcripts instead

5 matches in 5 utterances

6.74 per 1,000 words of the child (CHI), in 1 of 1 transcripts (382 utterances, 742 words searched).

Concordance Utterances Distribution Matched forms

c'est bon ? 921008_924797 CHI · french/lyon_nat39a.cha, line 1458 · Nathan 2;09
(pour)quoi c'est bon les salades ? CHI · french/lyon_nat39a.cha, line 1464 · Nathan 2;09
c'est bon ! CHI · french/lyon_nat39a.cha, line 1488 · Nathan 2;09
c'est très bon salade ! CHI · french/lyon_nat39a.cha, line 1492 · Nathan 2;09
c'est ‹trop [?]› bon . 939300_941658 CHI · french/lyon_nat39a.cha, line 1496 · Nathan 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;102;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_nat39a.cha	Nathan	2;9.7	742	5	5	6.74

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