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

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_nat02a.cha change

Searching only french/lyon_nat02a.cha. Search all transcripts instead

4 matches in 4 utterances

4.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (308 utterances, 981 words searched).

Concordance Utterances Distribution Matched forms

regarde la voiture c(e) qu'elle va faire . 358240_359953 MOT · french/lyon_nat02a.cha, line 191 · Nathan 1;00
oh mais elle est coinc(ée) +/. 482383_484588 MOT · french/lyon_nat02a.cha, line 277 · Nathan 1;00
elle est trop grosse . MOT · french/lyon_nat02a.cha, line 280 · Nathan 1;00
elle est trop grosse . 484588_486772 MOT · french/lyon_nat02a.cha, line 282 · Nathan 1;00

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

0;111;001;011;02

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_nat02a.cha	Nathan	1;0.24	981	4	4	4.08

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