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Register a new userNot Quite There Yet: Combining Analogical Patterns and Encoder-Decoder Networks for Cognitively Plausible Inflection
ليس هناك تماما بعد: الجمع بين الأنماط التناظرية وشبكات فك تشفير التشفير لانضباط المعقول المعني
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تقدم الورقة أربع نماذج مقدمة إلى الجزء 2 من المهمة المشتركة Sigmorphon 2021 0، التي تهدف إلى تكرار الأحكام الإنسانية على انعطاف أحادي الإكسآت.هدفنا هو استكشاف فائدة الجمع بين الأنماط التناظرية التي تم تجميعها مسبقا مع بنية تشفير فك الترميز.تم تصميم نموذجين باستخدام هذه الأنماط إما في الإدخال أو إخراج الشبكة.نماذج إضافية يتم التحكم فيها لدور التشابه الخام للنماذج المؤذية غير المصنفة للأشكال المصابة الموجودة في نفس خلية النموذج، ودور تواتر نوع الأنماط التناظرية.استراتيجيتنا غير داخلي تماما بمعنى أن النماذج تستأنف فقط البيانات المقدمة من منظمي Sigmorphon، دون استخدام موارد خارجية.تحتل نموذجنا 2 المرتبة الثانية بين جميع الأنظمة المقدمة، مما يشير إلى أن إدراج أنماط تكنولوجية في بنية الشبكة مفيدة في تنبؤات مكبرات الصوت المحاكمة.
The paper presents four models submitted to Part 2 of the SIGMORPHON 2021 Shared Task 0, which aims at replicating human judgements on the inflection of nonce lexemes. Our goal is to explore the usefulness of combining pre-compiled analogical patterns with an encoder-decoder architecture. Two models are designed using such patterns either in the input or the output of the network. Two extra models controlled for the role of raw similarity of nonce inflected forms to existing inflected forms in the same paradigm cell, and the role of the type frequency of analogical patterns. Our strategy is entirely endogenous in the sense that the models appealing solely to the data provided by the SIGMORPHON organisers, without using external resources. Our model 2 ranks second among all submitted systems, suggesting that the inclusion of analogical patterns in the network architecture is useful in mimicking speakers' predictions.
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