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/yamaguchi_19-2_10_14.cha change

Searching only french/yamaguchi_19-2_10_14.cha. Search all transcripts instead

4 matches in 3 utterances

3.61 per 1,000 words of the child (CHI), in 1 of 1 transcripts (544 utterances, 1,107 words searched).

Concordance Utterances Distribution Matched forms

a pas de ‹lunettes ,› non ‹pas ,› a pas de lunettes Adrien ! 696005_703538 CHI · french/yamaguchi_19-2_10_14.cha, line 1681 · Adrien 2;10
a pas de ‹lunettes ,› non ‹pas ,› a pas de lunettes Adrien ! 696005_703538 CHI · french/yamaguchi_19-2_10_14.cha, line 1681 · Adrien 2;10
pas ça x@p de côté ! 1360911_1368048 CHI · french/yamaguchi_19-2_10_14.cha, line 3191 · Adrien 2;10
pas ça x@p de côté encore ! 1375479_1378480 CHI · french/yamaguchi_19-2_10_14.cha, line 3199 · Adrien 2;10

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

per 1,000 words

01234

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/yamaguchi_19-2_10_14.cha	Adrien	2;10.14	1,107	3	4	3.61

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