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/unkeler_pie12.cha change

Searching only french/unkeler_pie12.cha. Search all transcripts instead

5 matches in 5 utterances

16.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (66 utterances, 312 words searched).

Concordance Utterances Distribution Matched forms

Pierre , elles sont rouges les pommes , rouges . MOT · french/unkeler_pie12.cha, line 161 · Pierre 1;09
montre ta langue Pierre ! MOT · french/unkeler_pie12.cha, line 169 · Pierre 1;09
mais prends la balle en mousse Pierre ! MOT · french/unkeler_pie12.cha, line 206 · Pierre 1;09
c'est un vélo Pierre ? MOT · french/unkeler_pie12.cha, line 230 · Pierre 1;09
doucement Pierre ! MOT · french/unkeler_pie12.cha, line 247 · Pierre 1;09

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

per 1,000 words

05101520

1;081;091;101;11

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/unkeler_pie12.cha	Pierre	1;9.11	312	5	5	16.03

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