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Register a new userGlossary functionality in commercial machine translation: does it help? A first step to identify best practices for a language service provider
وظيفة المسرد في الترجمة الآلية التجارية: هل يساعد؟الخطوة الأولى لتحديد أفضل الممارسات لمزود خدمة اللغة
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في الآونة الأخيرة، بدأ عدد من مقدمي الترجمة الآلات التجارية (MT) تقديم ميزات مسرد يسمح للمستخدمين بتنفيذ المصطلحات في إخراج نموذج عام. ومع ذلك، على حد علمنا، ليس من الواضح كيف ستؤثر هذه الميزات على دقة المصطلحات والنوعية الشاملة للإخراج. تهدف المساهمة الحالية إلى توفير نظرة أولية في أداء النماذج العامة المحسنة المسرد التي تقدمها أربعة مقدمي خدمات. تنطوي اختباراتنا على اثنين من المجالات المختلفة وأزواج اللغات، I.E.STSSWEAR EN - FR ومعدات صناعية DE - EN. سيتم تقييم إخراج كل طراز عام وعلى Glossaryenenhanced One الاعتماد على معدل خطأ الترجمة (TER) لمراعاة جودة الإخراج الإجمالية وعلى الدقة لتقييم الامتثال لمصطلان المسرد. يتبع ذلك تقييم يدوي. تركز المساهمة الحالية أساسا على فهم كيفية استغلال ميزات المسرد هذه بشكل مثمر من قبل مقدمي خدمات اللغة (LSPs)، وخاصة في سيناريو يتوفر فيه مشرق العميل بالفعل ويضاف إلى النموذج العام كما هو.
Recently, a number of commercial Machine Translation (MT) providers have started to offer glossary features allowing users to enforce terminology into the output of a generic model. However, to the best of our knowledge it is not clear how such features would impact terminology accuracy and the overall quality of the output. The present contribution aims at providing a first insight into the performance of the glossary-enhanced generic models offered by four providers. Our tests involve two different domains and language pairs, i.e. Sportswear En--Fr and Industrial Equipment De--En. The output of each generic model and of the glossaryenhanced one will be evaluated relying on Translation Error Rate (TER) to take into account the overall output quality and on accuracy to assess the compliance with the glossary. This is followed by a manual evaluation. The present contribution mainly focuses on understanding how these glossary features can be fruitfully exploited by language service providers (LSPs), especially in a scenario in which a customer glossary is already available and is added to the generic model as is.
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