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Found 13 papers, 5 papers with code
Priming Neural Machine Translation
Priming is a well known and studied psychology phenomenon based on the prior presentation of one stimulus (cue) to influence the processing of a response.
Lexical Micro-adaptation for Neural Machine Translation
This work is inspired by a typical machine translation industry scenario in which translators make use of in-domain data for facilitating translation of similar or repeating sentences.
BiSync: A Bilingual Editor for Synchronized Monolingual Texts
In our globalized world, a growing number of situations arise where people are required to communicate in one or several foreign languages.
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models
We conclude by emphasizing the critical role of LLMs in guiding the future evolution of MT and offer a roadmap for future exploration in the sector.
Bilingual Synchronization: Restoring Translational Relationships with Editing Operations
Machine Translation (MT) is usually viewed as a one-shot process that generates the target language equivalent of some source text from scratch.
Integrating Translation Memories into Non-Autoregressive Machine Translation
Non-autoregressive machine translation (NAT) has recently made great progress.
Finding and Exploring Promising Search Space for the 0-1 Multidimensional Knapsack Problem
It maintains a set of solutions and utilizes the information from the population to extract good partial assignments.
Joint Generation of Captions and Subtitles with Dual Decoding
As the amount of audio-visual content increases, the need to develop automatic captioning and subtitling solutions to match the expectations of a growing international audience appears as the only viable way to boost throughput and lower the related post-production costs.
One Source, Two Targets: Challenges and Rewards of Dual Decoding
Machine translation is generally understood as generating one target text from an input source document.
Can You Traducir This? Machine Translation for Code-Switched Input
Code-Switching (CSW) is a common phenomenon that occurs in multilingual geographic or social contexts, which raises challenging problems for natural language processing tools.
Boosting Neural Machine Translation with Similar Translations
This paper explores data augmentation methods for training Neural Machine Translation to make use of similar translations, in a comparable way a human translator employs fuzzy matches.
SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task
This paper describes Systran{'}s submissions to WAT 2019 Russian-Japanese News Commentary task.
