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/geneva_3.cha change

Searching only french/geneva_3.cha. Search all transcripts instead

5 matches in 5 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 2,029 words searched).

Concordance Utterances Distribution Matched forms

t(u) as le nez qui coule . FAT · french/geneva_3.cha, line 309 · Marie 1;09
voilà (.) le nez qui coule (.) là . FAT · french/geneva_3.cha, line 591 · Marie 1;09
il a aussi le nez qui coule (.) papa (.) tu vois ? FAT · french/geneva_3.cha, line 605 · Marie 1;09
montre moi ce petit nez . FAT · french/geneva_3.cha, line 831 · Marie 1;09
souffle (.) souffle (.) souffle (.) par le nez . FAT · french/geneva_3.cha, line 1101 · Marie 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

0123

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/geneva_3.cha	Marie	1;9.10	2,029	5	5	2.46

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