Results 81 to 90 of about 329,381 (313)
Tuning syntactically enhanced word alignment for statistical machine translation [PDF]
We introduce a syntactically enhanced word alignment model that is more flexible than state-of-the-art generative word alignment models and can be tuned according to different end tasks.
Lambert, Patrik, Ma, Yanjun, Way, Andy
core +3 more sources
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez+8 more
wiley +1 more source
Accuracy-based scoring for phrase-based statistical machine translation [PDF]
Although the scoring features of state-of-the-art Phrase-Based Statistical Machine Translation (PB-SMT) models are weighted so as to optimise an objective function measuring translation quality, the estimation of the features themselves does not have ...
Galron, Daniel+3 more
core +1 more source
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed+3 more
wiley +1 more source
From the outset, automatic translation was dominated by systems based on linguistic information, but then later other approaches opened up the way, such as translation memories and statistical machine translation which draw on parallel language corpora ...
Francisco Casacuberta Nolla+1 more
doaj +1 more source
Machine Translation System for the Industry Domain and Croatian Language
Machine translation is increasingly becoming a hot research topic in information and communication sciences, computer science and computational linguistics, due to the fact that it enables communication and transferring of meaning across different ...
Ivan Dunđer
doaj +1 more source
Learning Semantic Representations for the Phrase Translation Model [PDF]
This paper presents a novel semantic-based phrase translation model. A pair of source and target phrases are projected into continuous-valued vector representations in a low-dimensional latent semantic space, where their translation score is computed by ...
Deng, Li+3 more
core +1 more source
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation
Pairwise ranking methods are the basis of many widely used discriminative training approaches for structure prediction problems in natural language processing(NLP).
Chen, Huadong+4 more
core +1 more source
A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli+5 more
wiley +1 more source
Experiments on domain adaptation for English-Hindi SMT [PDF]
Statistical Machine Translation (SMT) systems are usually trained on large amounts of bilingual text and monolingual target language text. If a significant amount of out-of-domain data is added to the training data, the quality of translation can drop ...
Haque, Rejwanul+3 more
core +1 more source