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_mas19a.cha change

Searching only french/lyon_mas19a.cha. Search all transcripts instead

2 matches in 2 utterances

3.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (437 utterances, 532 words searched).

Concordance Utterances Distribution Matched forms

i(l) coule beaucoup ce nez hein . 1390502_1396023 MOT · french/lyon_mas19a.cha, line 1230 · Marilyn 1;10
comment il est ton nez ? 1663545_1665438 MOT · french/lyon_mas19a.cha, line 1449 · Marilyn 1;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

01234

1;091;101;112;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_mas19a.cha	Marilyn	1;10.17	532	2	2	3.76

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