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_mar16b.cha change

Searching only french/lyon_mar16b.cha. Search all transcripts instead

4 matches in 4 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (401 utterances, 1,520 words searched).

Concordance Utterances Distribution Matched forms

pourquoi tu montres ta +..? 887930_891635 MOT · french/lyon_mar16b.cha, line 1125 · Marie 1;10
et pourquoi tu leur mets d(e) la crème ? 1286130_1287745 MOT · french/lyon_mar16b.cha, line 1779 · Marie 1;10
<oui non mais> [= ! rit] , pourquoi tu mets d(e) la crème à ce bébé ? 1288940_1292090 MOT · french/lyon_mar16b.cha, line 1791 · Marie 1;10
pourquoi <tu fais comme ça> [= ! imite Mar] ? 1513675_1515453 MOT · french/lyon_mar16b.cha, line 2166 · Marie 1;10

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;091;101;112;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/lyon_mar16b.cha	Marie	1;10.11	1,520	4	4	2.63

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