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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.
Large Language Models Often Say One Thing and Do Another
Target word activity detector: An approach to obtain ASR word boundaries without lexicon
BinaryAlign: Word Alignment as Binary Sequence Labeling
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning
Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment
Learning Language Structures through Grounding
Word Alignment as Preference for Machine Translation
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
Cross-lingual Contextualized Phrase Retrieval
Multilingual Coreference Resolution in Low-resource South Asian Languages
Self-Augmented In-Context Learning for Unsupervised Word Translation
Constrained Decoding for Cross-lingual Label Projection
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models
Aligning and Prompting Everything All at Once for Universal Visual Perception
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
On Bilingual Lexicon Induction with Large Language Models
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions
Gloss Alignment Using Word Embeddings
Does mBERT understand Romansh? Evaluating word embeddings using word alignment
Towards Arabic Multimodal Dataset for Sentiment Analysis
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction
Unbalanced Optimal Transport for Unbalanced Word Alignment
Do GPTs Produce Less Literal Translations?
Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents
AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment
Low-resource Bilingual Dialect Lexicon Induction with Large Language Models
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
Multilingual Sentence Transformer as A Multilingual Word Aligner
Noisy Parallel Data Alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.