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_liea026.cha change

Searching only french/york_liea026.cha. Search all transcripts instead

5 matches in 5 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (304 utterances, 1,655 words searched).

Concordance Utterances Distribution Matched forms

c(e) est trop léger . MAM · french/york_liea026.cha, line 966 · Léa 3;10
non c(e) est trop léger . MAM · french/york_liea026.cha, line 993 · Léa 3;10
c(e) est trop léger , Léa . MAM · french/york_liea026.cha, line 998 · Léa 3;10
oui mais ça [//] c(e) est trop léger . MAM · french/york_liea026.cha, line 1007 · Léa 3;10
le bébé est trop léger . MAM · french/york_liea026.cha, line 1038 · Léa 3;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

3;093;103;114;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/york_liea026.cha	Léa	3;10.07	1,655	5	5	3.02

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