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Register a new userincom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages
Incom.py 2.0 - حساب المسافات اللغوية وغير المتكافئة في التصور السمعي لغات ذات صلة عن كثب
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نقدم نسخة ممتدة من الأداة التي وضعت لحساب المسافات اللغوية وغير المتكافئة في التصور السمعي للغات ذات الصلة عن كثب.جنبا إلى جنب مع تقييم المقاييس المتاحة في الإصدار الأولي من الأداة، نقدم Word Adaptation Enterpy كمقيدي إضافي من عدم التماثل اللغوي.يتم التحقق من صحة المتنبئين المحتملين من الوضوح من الكلام مع الأداء البشري في تجارب التعرف على المعترف بها من غير المنطوقة في البلغارية والروسية.يتم إيلاء اهتمام خاص لمساهمات مختلفة من الحرث الحروفية والساوجة في التقويم الشفوي.باستخدام Incom.py 2.0 من الممكن حساب وتصور وصلاحية أساليب قياس ثلاث طرق للمسافات اللغوية والمسافات اللغوية وكذلك تنفيذ تحليلات الانحدار في الوضوء الكلام بين اللغات ذات الصلة.
We present an extended version of a tool developed for calculating linguistic distances and asymmetries in auditory perception of closely related languages. Along with evaluating the metrics available in the initial version of the tool, we introduce word adaptation entropy as an additional metric of linguistic asymmetry. Potential predictors of speech intelligibility are validated with human performance in spoken cognate recognition experiments for Bulgarian and Russian. Special attention is paid to the possibly different contributions of vowels and consonants in oral intercomprehension. Using incom.py 2.0 it is possible to calculate, visualize, and validate three measurement methods of linguistic distances and asymmetries as well as carrying out regression analyses in speech intelligibility between related languages.
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