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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 551 papers

TitleStatusHype
A Discriminative Neural Model for Cross-Lingual Word Alignment—0
Atril: an XML Visualization System for Corpus Texts—0
A Tree Transducer Model for Grammatical Error Correction—0
Alignment-Based Neural Machine Translation—0
A Topic-Triggered Language Model for Statistical Machine Translation—0
A Tool for a High-Carat Gold-Standard Word Alignment—0
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective—0
A Deep Neural Network Approach To Parallel Sentence Extraction—0
Abu-MaTran at WMT 2014 Translation Task: Two-step Data Selection and RBMT-Style Synthetic Rules—0
Combining fast\_align with Hierarchical Sub-sentential Alignment for Better Word Alignments—0
Combining Multiple Alignments to Improve Machine Translation—0
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars—0
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages—0
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention—0
Computational analysis of Gondi dialects—0
Computational Integration of Human Vision and Natural Language through Bitext Alignment—0
Concavity and Initialization for Unsupervised Dependency Parsing—0
ATOGAN:Adaptive Training Objective Generative Adversarial Network for Cross-lingual Word Alignment in Non-Isomorphic Embedding Spaces—0
CNRC-TMT: Second Language Writing Assistant System Description—0
A Systematic Bayesian Treatment of the IBM Alignment Models—0
Constrained Hidden Markov Model for Bilingual Keyword Pairs Alignment—0
Constructing an Annotated Corpus of Verbal MWEs for English—0
Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection—0
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment—0
Clustered Word Classes for Preordering in Statistical 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