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Register a new userBilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora
استخراج مصطلحات ثنائية اللغة باستخدام Adgeddings الكلمة العصبية على Corpora المقارنة
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تتمثل إدارة المصطلح والمصطلان بخطوات حيوية لإعداد كل أخصائي لغة، ولعب دورا مهما للغاية في مرحلة تعليم محترفي الترجمة.يتزايد الاتجاه المتزايد من إدارة الوقت الفعالة والقيود الزمنية المستمرة التي قد نلاحظها في كل قطاع عمل بزيادة ضرورة تجميع المسرد التلقائي.تعتمد العديد من أنظمة AET ثنائية اللغة أداء جيدا على معالجة البيانات الموازية، ومع ذلك، فإن هذه الشركات الموازية ليست متاحة دائما لمجال معين أو زوج لغة.يعد الوصول إلى المجال الخاص، والوصول ثنائي اللغة إلى المعلومات واسترجاعه بناء على شركة Corpora المقارنة مجالا واعدةا كبيرا من البحث يتطلب تحليلا مفصلا لكلا من مصادر البيانات المتوفرة وتقنيات الاستخراج المحتملة.يركز هذا العمل على استخراج المصطلحات التلقائية الخاصة بالمجال من شركة Corga المقارنة للزوج باللغة الإنجليزية - اللغة الروسية من خلال الاستفادة من تضمين الكلمات العصبية.
Term and glossary management are vital steps of preparation of every language specialist, and they play a very important role at the stage of education of translation professionals. The growing trend of efficient time management and constant time constraints we may observe in every job sector increases the necessity of the automatic glossary compilation. Many well-performing bilingual AET systems are based on processing parallel data, however, such parallel corpora are not always available for a specific domain or a language pair. Domain-specific, bilingual access to information and its retrieval based on comparable corpora is a very promising area of research that requires a detailed analysis of both available data sources and the possible extraction techniques. This work focuses on domain-specific automatic terminology extraction from comparable corpora for the English -- Russian language pair by utilizing neural word embeddings.
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