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_nat08a.cha change

Searching only french/lyon_nat08a.cha. Search all transcripts instead

6 matches in 5 utterances

3.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (450 utterances, 1,602 words searched).

Concordance Utterances Distribution Matched forms

fais voir . 79523_81347 MOT · french/lyon_nat08a.cha, line 85 · Nathan 1;04
<fais voir> [/] fais voir cette raie là . MOT · french/lyon_nat08a.cha, line 713 · Nathan 1;04
<fais voir> [/] fais voir cette raie là . MOT · french/lyon_nat08a.cha, line 713 · Nathan 1;04
viens voir . MOT · french/lyon_nat08a.cha, line 1385 · Nathan 1;04
viens voir . 1677815_1679577 MOT · french/lyon_nat08a.cha, line 1388 · Nathan 1;04
tu viens on va l(e) voir . MOT · french/lyon_nat08a.cha, line 1399 · Nathan 1;04

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;031;041;051;06

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_nat08a.cha	Nathan	1;4.9	1,602	5	6	3.75

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