金盘是高原
发表于 2025-3-26 23:58:03
Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy ion divergence problem is usually reserved for Transfer and Interlingual MT because it requires a large combination of complex lexical and structural mappings. A major requirement of these approaches is the accessibility of large amounts of explicit symmetric knowledge for both source and target lan
血统
发表于 2025-3-27 01:57:00
http://reply.papertrans.cn/63/6208/620787/620787_32.png
使满足
发表于 2025-3-27 05:58:34
Merging Example-Based and Statistical Machine Translation: An Experimentbeing able to say that machine translation fully meets the needs of real-life users. In a previous study [.], we have shown how a SMT engine could benefit from terminological resources, especially when translating texts very different from those used to train the system. In the present paper, we dis
AVERT
发表于 2025-3-27 09:44:51
http://reply.papertrans.cn/63/6208/620787/620787_34.png
ATP861
发表于 2025-3-27 14:48:12
Better Contextual Translation Using Machine Learningf between contextual specificity and general applicability of the mappings, which typically results in conflicting mappings without distinguishing context. We present a machine-learning approach to choosing between such mappings, using classifiers that, in effect, selectively expand the context for
STENT
发表于 2025-3-27 21:16:43
Fast and Accurate Sentence Alignment of Bilingual Corporaither on sentence length or word correspondences. Sentence-length-based methods are relatively fast and fairly accurate. Word-correspondence-based methods are generally more accurate but much slower, and usually depend on cognates or a bilingual lexicon. Our method adapts and combines these approach
AXIOM
发表于 2025-3-28 00:50:24
Deriving Semantic Knowledge from Descriptive Texts Using an MT SystemThe KANT system [.,.] was used to analyze input paragraphs, producing sentence-level interlingua representations. The interlinguas were merged to construct a paragraph-level representation, which was used to create a semantic network in Conceptual Graph (CG) [.] format. The interlinguas are also tra
没血色
发表于 2025-3-28 04:45:34
http://reply.papertrans.cn/63/6208/620787/620787_38.png
平淡而无味
发表于 2025-3-28 09:41:59
http://reply.papertrans.cn/63/6208/620787/620787_39.png
Paleontology
发表于 2025-3-28 13:18:05
http://reply.papertrans.cn/63/6208/620787/620787_40.png