Word Alignment
84 papers with code • 7 benchmarks • 4 datasets
Word Alignment is the task of finding the correspondence between source and target words in a pair of sentences that are translations of each other.
Source: Neural Network-based Word Alignment through Score Aggregation
Benchmarks
These leaderboards are used to track progress in Word Alignment
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WMT 2016 News
MUSE
Europarl ConcoDisco Dataset
Bangla Word Analogy
Most implemented papers
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction
qiyuw/wspalign
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Most existing word alignment methods rely on manual alignment datasets or parallel corpora, which limits their usefulness.
Aligning and Prompting Everything All at Once for Universal Visual Perception
shenyunhang/ape
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However, predominant paradigms, driven by casting instance-level tasks as an object-word alignment, bring heavy cross-modality interaction, which is not effective in prompting object detection and visual grounding.
Multilingual Distributed Representations without Word Alignment
Distributed representations of meaning are a natural way to encode covariance relationships between words and phrases in NLP.
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
We introduce a framework for unsupervised learning of structured predictors with overlapping, global features.
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
The attentional mechanism has proven to be effective in improving end-to-end neural machine translation.
Guided Alignment Training for Topic-Aware Neural Machine Translation
OpenNMT/OpenNMT-tf
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AMTA 2016
In this paper, we propose an effective way for biasing the attention mechanism of a sequence-to-sequence neural machine translation (NMT) model towards the well-studied statistical word alignment models.
A Web-Based Interactive Tool for Creating, Inspecting, Editing, and Publishing Etymological Datasets
The paper presents the Etymological DICtionary ediTOR (EDICTOR), a free, interactive, web-based tool designed to aid historical linguists in creating, editing, analysing, and publishing etymological datasets.
