PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat19a.cha change

Searching only french/lyon_nat19a.cha. Search all transcripts instead

5 matches in 4 utterances

3.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,438 words searched).

Concordance Utterances Distribution Matched forms

<viens voir> [//] viens me voir . MOT · french/lyon_nat19a.cha, line 545 · Nathan 1;10
<viens voir> [//] viens me voir . MOT · french/lyon_nat19a.cha, line 545 · Nathan 1;10
<tu vas> [/] tu vas voir Jea ? 681482_706372 MOT · french/lyon_nat19a.cha, line 583 · Nathan 1;10
fais voir . 1356767_1358942 MOT · french/lyon_nat19a.cha, line 1014 · Nathan 1;10
fais voir . 1545323_1548148 MOT · french/lyon_nat19a.cha, line 1100 · Nathan 1;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

1;091;101;112;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/lyon_nat19a.cha	Nathan	1;10.19	1,438	4	5	3.48

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