Parallel Datasets
Related Papers
Monolingual Distributional Similarity for Text-to-Text Generation
Previous work on paraphrase extraction and application has relied on either parallel datasets, or on distributional similarity met- rics over large text corpora. Our approach combines these two orthogonal sources …...
Evaluating (and Improving) Sentence Alignment under Noisy Conditions
Sentence alignment is an important step in the preparation of parallel data. Most aligners do not perform very well when the input is a noisy, rather than a highly- parallel, …...
Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German
The goal of this work is to design a machine translation (MT) system for a low-resource family of dialects, collectively known as Swiss German, which are widely spoken in Switzerland …...
Unsupervised Text Style Transfer with Content Embeddings
AbstractThe style transfer task (here style is used in a broad “authorial” sense with many aspects including register, sentence structure, and vocabulary choice) takes text input and rewrites it in …...
Dynamic-FACT: A Dynamic Framework for Adaptive Context-Aware Translation
Abstract“Document-level neural machine translation (NMT) has garnered considerable attention sincethe emergence of various context-aware NMT models. However, these static NMT models aretrained on fixed parallel datasets, thus lacking awareness of …...