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_nat23b.cha change

Searching only french/lyon_nat23b.cha. Search all transcripts instead

4 matches in 3 utterances

4.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 998 words searched).

Concordance Utterances Distribution Matched forms

ton oeil . 292705_294518 MOT · french/lyon_nat23b.cha, line 320 · Nathan 2;00
enlève ton doigt . 317033_318407 MOT · french/lyon_nat23b.cha, line 373 · Nathan 2;00
non [/] non [/] non [/] non [/] non et prends pas <ton air de> [//] ton air de sadique là . 1335983_1342663 MOT · french/lyon_nat23b.cha, line 986 · Nathan 2;00
non [/] non [/] non [/] non [/] non et prends pas <ton air de> [//] ton air de sadique là . 1335983_1342663 MOT · french/lyon_nat23b.cha, line 986 · Nathan 2;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

012345

1;112;002;012;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_nat23b.cha	Nathan	2;0.15	998	3	4	4.01

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