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

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Showing 126–150 of 551 papers

TitleStatusHype
Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool—0
Bilingual lexicon extraction for a distant language pair using a small parallel corpus—0
An Information Theoretic Approach to Bilingual Word Clustering—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
Bilingual Data Cleaning for SMT using Graph-based Random Walk—0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination—0
A Comparison Between Morphological Complexity Measures: Typological Data vs. Language Corpora—0
Bidirectional American Sign Language to English Translation—0
Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation—0
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation—0
Bayesian Word Alignment for Massively Parallel Texts—0
Baseline Models for Pronoun Prediction and Pronoun-Aware Translation—0
An Attentional Model for Speech Translation Without Transcription—0
A Generalized Constraint Approach to Bilingual Dictionary Induction for Low-Resource Language Families—0
A Bayesian model for joint word alignment and part-of-speech transfer—0
Cross-lingual Pronoun Prediction with Linguistically Informed Features—0
Cross-lingual Projections between Languages from Different Families—0
Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses—0
Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation—0
Cross-lingual Synonymy Overlap—0
Cross-lingual Transfer of Semantic Role Labeling Models—0
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning—0
CUNI Experiments for WMT17 Metrics Task—0
DCU-Symantec at the WMT 2013 Quality Estimation Shared Task—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
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All datasetsen-esen-fres-enfr-enen-itMUSE en-deMUSE en-pt

Benchmark Results

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