Editing BowLingual (section)

==Effectiveness==
BowLingual uses customized voice-print analysis technology which has been adapted for dog barks. The accuracy of this product can be affected by varying conditions and situations. Sound interference can occur when the wireless collar-microphone picks up noises made by chain collars and collars with dog tags attached. As a result, the dog owner may believe that the device is malfunctioning and not registering the dog bark correctly.

In windy conditions, the microphone will sometimes interpret a gust of wind as a bark. Electrical equipment and certain radio signals may trigger false readouts. Due to improvements with the US and Canadian versions of the products, these problems are more common with the Japanese and South Korean versions.

One reviewer of the product, vet [[Sophia Yin]] stated "it's not very useful because the translations aren't trustworthy and most don't make sense."<ref>[http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2003/08/16/HO294651.DTL Gadget's bark is bigger than its hype / Vet puts 'bark translator' to the test. Verdict: nothing more than $120 curiosity<!-- Bot generated title -->]</ref>

Csaba Molnar and colleagues at Eotvos Lorand University, Budapest, Hungary proved by computer-based machine learning algorithms that there are consistent differences in the acoustics of dog barks according to the behavioural context and individuals.<ref>[http://molcsa.web.elte.hu/irattar/Molnar_etal_2008.pdf Molnar et al. (2008) Classification of dog barks: a machine learning approach. Animal Cognition, 11, 389-400]</ref>