منابع مشابه
Grammatical Machine Translation
We present an approach to statistical machine translation that combines ideas from phrase-based SMT and traditional grammar-based MT. Our system incorporates the concept of multi-word translation units into transfer of dependency structure snippets, and models and trains statistical components according to stateof-the-art SMT systems. Compliant with classical transfer-based MT, target dependenc...
متن کاملgrammatical adjustments in translation from english into persian by iranian students
بمنظور مشخص نمودن ارتباط میان برخی از ساختارهای دستور زبان انگلیسی و میزان دشواری این ساختارها در ترجمه سولات تحقیق و فرضیات صفر بشرح ذیل مطرح گردید: 1 - آیا دانشجویان ایرانی مشکلاتی در ارتباط با سازش دستوری در ترجمه از زبان انگلیسی به زبان فارسی دارند؟ 2 - آیا رابطه ای بین فرمهای دستوری زبان انگلیسی و میزان دشواری این فرمها در ترجمه از زبان انگلیسی به زبان فارسی وجود دارد؟ فرضیه 1 : دانشجویان ...
15 صفحه اولSpeech Translation with Grammatical Framework
Grammatical Framework (GF) is a grammar formalism which supports interlinguabased translation, library-based grammar engineering, and compilation to speech recognition grammars. We show how these features can be used in the construction of portable high-precision domain-specific speech translators.
متن کاملTransformations of translation grammars
A one-pass translation algorithm may be constructed by an extension of LR(k) parser for some R-translation grammars. An LR parser is possible to extend in such a way that output of output symbols is performed during both basic operations of the parser shift and reduce. Some transformations are studied which enable to transform some class of translation grammars on /^-translation grammars. The m...
متن کاملGrammatical error correction using neural machine translation
This paper presents the first study using neural machine translation (NMT) for grammatical error correction (GEC). We propose a twostep approach to handle the rare word problem in NMT, which has been proved to be useful and effective for the GEC task. Our best NMTbased system trained on the CLC outperforms our SMT-based system when testing on the publicly available FCE test set. The same system...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Humanities science current issues
سال: 2021
ISSN: 2308-4855
DOI: 10.24919/2308-4863/35-6-28