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

7 matches in 4 utterances

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

Concordance Utterances Distribution Matched forms

mhm . MOT · french/lyon_nat03b.cha, line 1042 · Nathan 1;00
mhm mhm (.) mhm mhm . MOT · french/lyon_nat03b.cha, line 1067 · Nathan 1;00
mhm mhm (.) mhm mhm . MOT · french/lyon_nat03b.cha, line 1067 · Nathan 1;00
mhm mhm (.) mhm mhm . MOT · french/lyon_nat03b.cha, line 1067 · Nathan 1;00
mhm mhm (.) mhm mhm . MOT · french/lyon_nat03b.cha, line 1067 · Nathan 1;00
+< tu tousses encore mon bébé (.) mhm ? MOT · french/lyon_nat03b.cha, line 1077 · Nathan 1;00
mhm . MOT · french/lyon_nat03b.cha, line 1090 · 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

0246

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	7	5.30

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