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_mar39a.cha change

Searching only french/lyon_mar39a.cha. Search all transcripts instead

3 matches in 2 utterances

2.95 per 1,000 words of the child (CHI), in 1 of 1 transcripts (291 utterances, 1,016 words searched).

Concordance Utterances Distribution Matched forms

…ce que <y a un gr(os)> [//] (.) y a ‹plein (.)› et une araignée et un gros hippopotame . 225182_230707 CHI · french/lyon_mar39a.cha, line 309 · Marie 3;02
‹tiens [?]› un ‹gros (.)› ‹bon(bon) [//]› un gros ‹chewing+gum (.)› <à la> [//] <c'est d(e… CHI · french/lyon_mar39a.cha, line 2381 · Marie 3;02
‹tiens [?]› un ‹gros (.)› ‹bon(bon) [//]› un gros ‹chewing+gum (.)› <à la> [//] <c'est d(e)> [//] <c'est un> [//] c'est… CHI · french/lyon_mar39a.cha, line 2381 · Marie 3;02

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

per 1,000 words

01234

3;013;023;033;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_mar39a.cha	Marie	3;2.23	1,016	2	3	2.95

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