A method for context-aware translation is provided. The present invention may include receiving a program integrated information file (PII) associated with a graphical user interface object of with a software product. The present invention may also include indexing each element string within the PII ...
2.2. 文档级机器翻译(Document-level Machine Translation) 3. 提出的方法(Proposed Approach) 3.1. 文档级上下文层(Document-level Context Layer) 3.1.1. 分层注意力(Hierarchical Attention) 3.1.2. 扁平注意力(Flat Attention) 3.2. 上下文门控(Context Gating) 3.3. 集成模型 4. 结论(Conclusion) 空白墙 (封...
Generally, the decoder-only large language models (LLMs) are adapted to context-aware neural machine translation (NMT) in a concatenating way, where LLMs take the concatenation of the source sentence (i.e., intra-sentence context) and the inter-sentence context as the input, and then to ...
转换参数为 ,s为scale,t为translation,图像的宽高正规化到[-1, 1],生成的区域图像为: 其中i 表示为像素点编号。 三个区域分支的MSCAN模块均为提取全局的特征,再通过FC_loc层提取得到128维的特征,这部分共享参数,之后再通过各自的FC层提取到四个转换参数。提取得到的局部图像规格为96*64。 区域定位网络存在三...
图1给出的是实体e1和e2实体之间的关系判定,由下至上看此图,输入有两个序列(1)句子序列x1, x2, …, xn (2)实体标签序列:标签B-∗, I-∗... 查看原文 代数优化与物理优化 投影与笛卡尔积的分配律 设E1和E2是两个关系表达式,A1,…,An是E1的属性,B1,…,Bm是E2的属性,则 11. 投影与并的分配律 ...
In this paper, we explored a context-aware positional representation to model order information in the input sentence, and thereby validate its effectiveness in the machine translation task. Therefore, we mainly introduce related works from the following two aspects: modeling order information and model...
In addition, the experiments on apple2orange dataset based on MUNIT and DRIT further indicate the effectiveness of FA module in multimodal translation tasks. We also show that the computation complexity of the proposed module is linear to the image size; moreover, the experiments on the day2...
// And finally create our Grammars gContext = new Grammar(gbContext); gGeneral = new Grammar(gbGeneral); gResearch = new Grammar(gbResearch); gOffice = new Grammar(gbOffice); gOperations = new Grammar(gbOperations); gMeeting = new Grammar(gbMeeting); gTranslation = new Grammar(gbTra...
The team proposes a multimodal context-aware translation framework, which they say is the first to incorporate context information obtained from an image into manga translation. The framework extracts three context types that are useful for multimodal context-aware translation: scene, reading order, and...
toLLMatch🔪: Context-aware LLM-based simultaneous translation Paper: https://arxiv.org/abs/2406.13476 Abstract The advent of transformers has fueled progress in machine translation. More recently large language models (LLMs) have come to the spotlight thanks to their generality and strong performanc...