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_nat05b.cha change

Searching only french/lyon_nat05b.cha. Search all transcripts instead

5 matches in 4 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,338 words searched).

Concordance Utterances Distribution Matched forms

eh eh Nanou ! 681187_682605 MOT · french/lyon_nat05b.cha, line 356 · Nathan 1;02
eh eh Nanou ! 681187_682605 MOT · french/lyon_nat05b.cha, line 356 · Nathan 1;02
+< eh regarde ! MOT · french/lyon_nat05b.cha, line 602 · Nathan 1;02
eh ! 1366583_1369008 MOT · french/lyon_nat05b.cha, line 806 · Nathan 1;02
<eh hop> [= ! chuchote] ! 1414632_1418875 MOT · french/lyon_nat05b.cha, line 839 · Nathan 1;02

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;011;021;031;04

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_nat05b.cha	Nathan	1;2.14	1,338	4	5	3.74

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