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/lyon_nat15a.cha change

Searching only french/lyon_nat15a.cha. Search all transcripts instead

2 matches in 1 utterance

1.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,478 words searched).

Concordance Utterances Distribution Matched forms

+< et ben toi tu vas me faire un coloriage et Nat i(l) va me dessiner (.) des belles choses . MOT · french/lyon_nat15a.cha, line 102 · Nathan 1;07
+< et ben toi tu vas me faire un coloriage et Nat i(l) va me dessiner (.) des belles choses . MOT · french/lyon_nat15a.cha, line 102 · Nathan 1;07

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

per 1,000 words

0.00.51.01.5

1;061;071;081;09

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_nat15a.cha	Nathan	1;7.22	1,478	1	2	1.35

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