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USA-IN-EAST ENTERPRISE Κατάλογοι Εταιρεία
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Εταιρικά Νέα :
- Word Alignment in the Era of Deep Learning: A Tutorial - arXiv. org
We cover neural word aligners, showing the slow but steady progress towards surpassing GIZA++ performance Finally, we cover the present-day applications of word alignment, from cross-lingual annotation projection, to improving translation 1 Introduction
- GitHub - neulab awesome-align: A neural word aligner based on . . .
awesome-align is a tool that can extract word alignments from multilingual BERT (mBERT) and allows you to fine-tune mBERT on parallel corpora for better alignment quality (see our paper for more details)
- Third-Party Aligner for Neural Word Alignments - ACL Anthology
In this paper, we propose to use word alignments generated by a third-party word aligner to supervise the neural word alignment training Specifically, source word and target word of each word pair aligned by the third-party aligner are trained to be close neighbors to each other in the contextualized embedding space when fine-tuning a pre
- Terminology-Aware Translation with Constrained Decoding and Large . . .
We use a neural word aligner to identify ter-minology constraints missed by the baseline system, and use the same system to re-decode the source by negatively constraining (disal-lowing) previously incorrectly translated to-kens
- Third-Party Aligner for Neural Word Alignments - DeepAI
Previous work has demonstrated that self-training can achieve competitive word alignment results In this paper, we propose to use word alignments generated by a third-party word aligner to supervise the neural word alignment training
- Towards Better Word Alignment in Transformer
There is an increasing interest in inducing accurate word alignment in neural translation models In addition, word alignment is helpful to improve the translation of terminology and low-frequency words
- Neural Baselines for Word Alignment - arXiv. org
Word alignments identify translational correspondences between words in a parallel sentence pair and is used, for instance, to learn bilingual dictionaries, to train statistical machine translation sys-tems, or to perform quality estimation
- Accurate Word Alignment Induction from Neural Machine Translation
In this paper, we show that attention weights DO capture accurate word alignments and propose two novel word alignment induction methods SHIFT-ATT and SHIFT-AET The main idea is to induce
- Issue #139 – Self-Supervised Neural Word Alignment - RWS
The MASK-ALIGN approach (Chen et al , 2021) masks each target token and re-predicts it based on self-attention, conditioned on the source words and the rest of the target words It ensures agreement between two unidirectional models and introduces a so-called “leaky attention” for words with no counterpart on the other side
- GitHub - tilde-nlp neural-machine-translation-tools: Neural Machine . . .
This tool relies on the word alignment extraction algorithms of the first tool A tool that allows to create non-factored NMT system training data by replacing rare words with their part-of-speech (or morpho-syntactic) tags
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