Multi-domain adaptation for statistical machine translation based on feature augmentation
Abstract Domain adaptation is a major challenge when applying machine translation to
practical tasks. In this paper, we present domain adaptation methods for machine translation …
practical tasks. In this paper, we present domain adaptation methods for machine translation …
Constituency parsing by cross-lingual delexicalization
Cross-lingual transfer is an important technique for low-resource language processing.
Temporarily, most research on syntactic parsing works on the dependency structures. This …
Temporarily, most research on syntactic parsing works on the dependency structures. This …
[PDF][PDF] Adapting hybrid machine translation techniques for cross-language text retrieval system
This research work aims in developing Tamil to English Cross-language text retrieval system
using hybrid machine translation approach. The hybrid machine translation system is a …
using hybrid machine translation approach. The hybrid machine translation system is a …
[PDF][PDF] Patent claim translation based on sublanguage-specific sentence structure
Patent claim sentences, despite their legal importance in patent documents, still pose
difficulties for state-of-the-art statistical machine translation (SMT) systems owing to their …
difficulties for state-of-the-art statistical machine translation (SMT) systems owing to their …
Dependency-based pre-ordering for English-Vietnamese statistical machine translation
TH Viet, N Van Vinh, VT Huyen… - VNU Journal of Science …, 2017 - jcsce.vnu.edu.vn
Reordering is a major challenge in machine translation (MT) between two languages with
significant differences in word order. In this paper, we present an approach as pre …
significant differences in word order. In this paper, we present an approach as pre …
[PDF][PDF] Cross-language projection of dependency trees for tree-to-tree machine translation
Y Shen, C Chu, F Cromieres… - Proceedings of the 29th …, 2015 - aclanthology.org
Abstract Syntax-based machine translation (MT) is an attractive approach for introducing
additional linguistic knowledge in corpus-based MT. Previous studies have shown that …
additional linguistic knowledge in corpus-based MT. Previous studies have shown that …
[PDF][PDF] Exploiting Multilingualism and Transfer Learning for Low Resource Machine Translation
RND Prasanna - 2018 - repository.kulib.kyoto-u.ac.jp
Artificial Intelligence (AI) is the field of science that deals with creating machines that mimic
the activities and behaviour of living beings especially humans. The objective is to either …
the activities and behaviour of living beings especially humans. The objective is to either …
Global pre-ordering for improving sublanguage translation
When translating formal documents, capturing the sentence structure specific to the
sublanguage is extremely necessary to obtain high-quality translations. This paper proposes …
sublanguage is extremely necessary to obtain high-quality translations. This paper proposes …
Cross‐Linguistic Similarity Evaluation Techniques Based on Deep Learning
J Li, J Zhang, M Qian - Advances in Multimedia, 2022 - Wiley Online Library
For the cross‐linguistic similarity problem, a twin network model with ordered neuron long‐
and short‐term memory neural network as a subnet is proposed. The model fuses bilingual …
and short‐term memory neural network as a subnet is proposed. The model fuses bilingual …