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/lyon_nat06a.cha change

Searching only french/lyon_nat06a.cha. Search all transcripts instead

4 matches in 4 utterances

4.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 909 words searched).

Concordance Utterances Distribution Matched forms

<si tu vois une araignée (.) prête à te piquer> [= ! lu] . 101880_105552 MOT · french/lyon_nat06a.cha, line 134 · Nathan 1;02
(il) y a une chouette . MOT · french/lyon_nat06a.cha, line 280 · Nathan 1;02
une vipère . 225910_227957 MOT · french/lyon_nat06a.cha, line 295 · Nathan 1;02
quand [/] www [= ! li] <elle fut dans la chambre elle eu une drôle d'impression> [/] www [= ! lu] . 1000640_1060040 MOT · french/lyon_nat06a.cha, line 649 · Nathan 1;02

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

per 1,000 words

012345

1;011;021;031;04

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_nat06a.cha	Nathan	1;2.26	909	4	4	4.40

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