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Word Alignment
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Word Alignment in the Era of Deep Learning: A Tutorial
Frustratingly Easy Label Projection for Cross-lingual Transfer
Third-Party Aligner for Neural Word Alignments
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching
SilverAlign: MT-Based Silver Data Algorithm For Evaluating Word Alignment
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
Extending Word-Level Quality Estimation for Post-Editing Assistance
Correspondence Matters for Video Referring Expression Comprehension
GERNERMED++: Transfer Learning in German Medical NLP
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
Graph Neural Networks for Multiparallel Word Alignment
Revitalize Region Feature for Democratizing Video-Language Pre-training of Retrieval
Improving Word Translation via Two-Stage Contrastive Learning
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Mitigating Language-Dependent Ethnic Bias in BERT
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions
Graph Algorithms for Multiparallel Word Alignment
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
Cross-language Sentence Selection via Data Augmentation and Rationale Training
Neural semi-Markov CRF for Monolingual Word Alignment
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment
Zero-Shot Cross-lingual Semantic Parsing
Sparse Attention with Linear Units
Leveraging Neural Machine Translation for Word Alignment
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning
Bootstrapping Multilingual AMR with Contextual Word Alignments
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