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 76100 of 551 papers

TitleStatusHype
Do GPTs Produce Less Literal Translations?Code0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space GeometryCode0
GERNERMED++: Transfer Learning in German Medical NLPCode0
A Web-Based Interactive Tool for Creating, Inspecting, Editing, and Publishing Etymological DatasetsCode0
Kneser-Ney Smoothing on Expected CountsCode0
Creating a Translation Matrix of the Bible's Names Across 591 LanguagesCode0
Constrained Decoding for Cross-lingual Label ProjectionCode0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
CL-NERIL: A Cross-Lingual Model for NER in Indian LanguagesCode0
Leveraging Neural Machine Translation for Word AlignmentCode0
Adding Interpretable Attention to Neural Translation Models Improves Word AlignmentCode0
CombAlign: a Tool for Obtaining High-Quality Word AlignmentsCode0
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual PivotingCode0
Mitigating Language-Dependent Ethnic Bias in BERTCode0
CEA LIST: Processing Low-Resource Languages for CoNLL 2018Code0
Accurate Word Alignment Induction from Neural Machine TranslationCode0
Conditional Random Field Autoencoders for Unsupervised Structured PredictionCode0
Cross-lingual Contextualized Phrase RetrievalCode0
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation0
Augmenting String-to-Tree and Tree-to-String Translation with Non-Syntactic Phrases0
Alignment by Bilingual Generation and Monolingual Derivation0
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions0
Alignment-based reordering for SMT0
A Discriminative Neural Model for Cross-Lingual Word Alignment0
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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