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Register a new userComprehensive Punctuation Restoration for English and Polish
استعادة علامات الترقيم الشاملة للغة الإنجليزية والبولندية
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تعد استعادة الترقيم متطلبات أساسية لقراءة النص المستمدة من أنظمة التعرف على الكلام التلقائي (ASR). تقتصر معظم الحلول المعاصرة على التنبؤ ببعض العلامات التي تحدث بشكل متكرر، مثل الفترات والفواصل وعلامات الاستفهام - وفقط واحد لكل كلمة. ومع ذلك، في لغة مكتوبة، نتعامل مع عدد أكبر بكثير من أحرف علامات الترقيم (مثل الأقواس الواصلية، وما إلى ذلك)، ومجموعاتها (مثل الأقواس متبوعة ب DOT). لا يمكن دائما تقليل علامات الترقيم هذه بشكل لا لبس فيه إلى مجموعة أساسية من العلامات الأكثر تدويرا. في هذا العمل، نقيم عدة طرق في مهمة إعادة إعمار علامات الترقيم الشاملة. نحن نقوم بإجراء تجارب على الفورما المتوازي لغغتين مختلفتين، والإنجليزية والبولندية - اللغات مع التشكل البسيط والمعقد نسبيا، على التوالي. نحن نحقق أيضا في تأثير بناء نموذج على علامات ترقيم شاملة حول جودة مهام ترقيم الترقيم الأساسية
Punctuation restoration is a fundamental requirement for the readability of text derived from Automatic Speech Recognition (ASR) systems. Most contemporary solutions are limited to predicting only a few of the most frequently occurring marks, such as periods, commas, and question marks - and only one per word. However, in written language, we deal with a much larger number of punctuation characters (such as parentheses, hyphens, etc.), and their combinations (like parenthesis followed by a dot). Such comprehensive punctuation cannot always be unambiguously reduced to a basic set of the most frequently occurring marks. In this work, we evaluate several methods in the comprehensive punctuation reconstruction task. We conduct experiments on parallel corpora of two different languages, English and Polish - languages with a relatively simple and complex morphology, respectively. We also investigate the influence of building a model on comprehensive punctuation on the quality of the basic punctuation restoration task
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