PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

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/york_mona004.cha change

Searching only french/york_mona004.cha. Search all transcripts instead

5 matches in 5 utterances

2.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (701 utterances, 2,435 words searched).

Concordance Utterances Distribution Matched forms

i(l) est lourd xxx . 579571_580782 MOT · french/york_mona004.cha, line 253 · Max 1;11
i(l) est lourd . 582167_583035 CAT · french/york_mona004.cha, line 257 · Max 1;11
oh i(l) est lourd . 585098_585934 CAT · french/york_mona004.cha, line 262 · Max 1;11
ah oui „ c(e) est lourd , ça . 585934_586567 CAT · french/york_mona004.cha, line 264 · Max 1;11
ah c(e) est lourd . 588070_590715 CAT · french/york_mona004.cha, line 269 · Max 1;11

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

per 1,000 words

0.00.51.01.52.02.5

1;101;112;002;01

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/york_mona004.cha	Max	1;11.01	2,435	5	5	2.05

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