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_nat25b.cha change

Searching only french/lyon_nat25b.cha. Search all transcripts instead

5 matches in 5 utterances

6.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (164 utterances, 790 words searched).

Concordance Utterances Distribution Matched forms

i(l) sait pas dire bonjour Nanou ? 931725_937183 JEA · french/lyon_nat25b.cha, line 643 · Nathan 2;10
si i(l) sait dire bonjour ! 937183_938675 MOT · french/lyon_nat25b.cha, line 648 · Nathan 2;10
hein tu sais dire bonjour ! 938675_941070 MOT · french/lyon_nat25b.cha, line 650 · Nathan 2;10
tu vois qu'i(l) sait l(e) dire ! 969163_970388 MOT · french/lyon_nat25b.cha, line 676 · Nathan 2;10
ben i(l) vient d(e) le dire ! 971398_972527 MOT · french/lyon_nat25b.cha, line 681 · Nathan 2;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

02468

2;092;102;113;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_nat25b.cha	Nathan	2;10.23	790	5	5	6.33

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