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_11-2_02_00.cha change

Searching only french/yamaguchi_11-2_02_00.cha. Search all transcripts instead

3 matches in 3 utterances

3.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (140 utterances, 801 words searched).

Concordance Utterances Distribution Matched forms

on va changer on va prendre celle-là ‹regarde ,› celle-là elle roule bien ‹regarde ,› alors on la fait rouler ! 1305289_1312188 CAR · french/yamaguchi_11-2_02_00.cha, line 860 · Adrien 2;02
où est-ce qu'elle est la vache ‹là ,› ah là ! 1396857_1406617 CAR · french/yamaguchi_11-2_02_00.cha, line 927 · Adrien 2;02
tu pars pas ‹maintenant ,› maman elle est pas là ! 1575630_1577743 CAR · french/yamaguchi_11-2_02_00.cha, line 1089 · Adrien 2;02

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

2;012;022;03

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_11-2_02_00.cha	Adrien	2;2.	801	3	3	3.75

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