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_nat17b.cha change

Searching only french/lyon_nat17b.cha. Search all transcripts instead

4 matches in 3 utterances

5.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 797 words searched).

Concordance Utterances Distribution Matched forms

comment elle fait la vache ? 253585_254807 MOT · french/lyon_nat17b.cha, line 172 · Nathan 1;09
on fait une tour mon Nanou . 374083_390782 MOT · french/lyon_nat17b.cha, line 302 · Nathan 1;09
eh vas_y [/] <vas_y on fait un pa> [//] on fait du bruit . 697405_703630 MOT · french/lyon_nat17b.cha, line 425 · Nathan 1;09
eh vas_y [/] <vas_y on fait un pa> [//] on fait du bruit . 697405_703630 MOT · french/lyon_nat17b.cha, line 425 · Nathan 1;09

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

per 1,000 words

0246

1;081;091;101;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_nat17b.cha	Nathan	1;9.3	797	3	4	5.02

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