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 4150 of 551 papers

TitleStatusHype
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning0
Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment0
Learning Language Structures through Grounding0
Word Alignment as Preference for Machine Translation0
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment0
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment0
Cross-lingual Contextualized Phrase RetrievalCode0
Multilingual Coreference Resolution in Low-resource South Asian LanguagesCode0
Self-Augmented In-Context Learning for Unsupervised Word TranslationCode0
Constrained Decoding for Cross-lingual Label ProjectionCode0
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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