SOTAVerified

Word Alignment

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

Papers

Showing 501525 of 551 papers

TitleStatusHype
Improving Discourse Relation Projection to Build Discourse Annotated CorporaCode0
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language ModelsCode0
Addressing the Rare Word Problem in Neural Machine TranslationCode0
Unsupervised Word Alignment via Cross-Lingual Contrastive LearningCode0
Learning Trilingual Dictionaries for Urdu -- Roman Urdu -- EnglishCode0
GERNERMED++: Transfer Learning in German Medical NLPCode0
Self-Augmented In-Context Learning for Unsupervised Word TranslationCode0
CL-NERIL: A Cross-Lingual Model for NER in Indian LanguagesCode0
Leveraging Neural Machine Translation for Word AlignmentCode0
Word Translation Without Parallel DataCode0
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive LearningCode0
FastEmit: Low-latency Streaming ASR with Sequence-level Emission RegularizationCode0
Creating a Translation Matrix of the Bible's Names Across 591 LanguagesCode0
Noisy Parallel Data AlignmentCode0
Towards Arabic Multimodal Dataset for Sentiment AnalysisCode0
Building Named Entity Recognition Taggers via Parallel CorporaCode0
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space GeometryCode0
Do GPTs Produce Less Literal Translations?Code0
Low-resource Bilingual Dialect Lexicon Induction with Large Language ModelsCode0
CEA LIST: Processing Low-Resource Languages for CoNLL 2018Code0
LRS3-TED: a large-scale dataset for visual speech recognitionCode0
Towards Unsupervised Recognition of Token-level Semantic Differences in Related DocumentsCode0
Constrained Decoding for Cross-lingual Label ProjectionCode0
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained ModelsCode0
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual PivotingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.26Unverified
2Adv - Refine - CSLSP@181.7Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@182.94Unverified
2Adv - Refine - CSLSP@182.3Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.5Unverified
2Adv - Refine - CSLSP@183.3Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.23Unverified
2Adv - Refine - CSLSP@182.1Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@181.45Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@174.08Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.65Unverified