Papers Zero-Shot Machine Translation
“Zero-Shot Machine Translation” 태그가 달린 논문 8편 · 필터 해제
Prompt Refinement with Image Pivot for Text-to-Image Generation
For text-to-image generation, automatically refining user-provided natural language prompts into the keyword-enriched prompts favored by systems is essential for the user experience. Such a prompt refinement process is a…
Image GenerationMachine TranslationText to Image GenerationText-to-Image Generation+1EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
The ability of zero-shot translation emerges when we train a multilingual model with certain translation directions; the model can then directly translate in unseen directions. Alternatively, zero-shot translation can be…
Machine TranslationTranslationZero-Shot Machine TranslationCharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
We address the task of machine translation (MT) from extremely low-resource language (ELRL) to English by leveraging cross-lingual transfer from 'closely-related' high-resource language (HRL). The development of an MT sy…
Cross-Lingual TransferMachine TranslationZero-Shot Machine TranslationZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation
Natural Language Generation (NLG) accepts input data in the form of images, videos, or text and generates corresponding natural language text as output. Existing NLG methods mainly adopt a supervised approach and rely he…
Image CaptioningImage to textMachine TranslationText Generation+4Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning
Massively multilingual pre-trained language models (MMPLMs) are developed in recent years demonstrating superpowers and the pre-knowledge they acquire for downstream tasks. This work investigates whether MMPLMs can be ap…
Machine TranslationNMTTransfer LearningTranslation+1MALM: Mixing Augmented Language Modeling for Zero-Shot Machine Translation
Large pre-trained language models have brought remarkable progress in NLP. Pre-training and Fine-tuning have given state-of-art performance across tasks in text processing. Data Augmentation techniques have also helped b…
Data AugmentationLanguage ModelingLanguage ModellingMachine Translation+2Cross-lingual Word Embeddings beyond Zero-shot Machine Translation
We explore the transferability of a multilingual neural machine translation model to unseen languages when the transfer is grounded solely on the cross-lingual word embeddings. Our experimental results show that the tran…
Cross-Lingual Word EmbeddingsMachine TranslationTranslationWord Embeddings+1Consistency by Agreement in Zero-shot Neural Machine Translation
Generalization and reliability of multilingual translation often highly depend on the amount of available parallel data for each language pair of interest. In this paper, we focus on zero-shot generalization---a challeng…
Machine TranslationNMTTranslationZero-shot Generalization+1