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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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_nat03b.cha change

Searching only french/lyon_nat03b.cha. Search all transcripts instead

5 matches in 4 utterances

3.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (322 utterances, 1,322 words searched).

Concordance Utterances Distribution Matched forms

vas_y ! 117750_121243 MOT · french/lyon_nat03b.cha, line 172 · Nathan 1;00
et ben vas_y ! 988177_993980 MOT · french/lyon_nat03b.cha, line 771 · Nathan 1;00
vas_y [/] vas_y ! 1106912_1108268 MOT · french/lyon_nat03b.cha, line 801 · Nathan 1;00
vas_y [/] vas_y ! 1106912_1108268 MOT · french/lyon_nat03b.cha, line 801 · Nathan 1;00
+< allez vas_y tousse un coup ! MOT · french/lyon_nat03b.cha, line 1070 · Nathan 1;00

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

0;111;001;011;02

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_nat03b.cha	Nathan	1;0.24	1,322	4	5	3.78

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