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 201–225 of 551 papers

TitleStatusHype
A BiLSTM-based System for Cross-lingual Pronoun Prediction—0
Unsupervised Event Clustering and Aggregation from Newswire and Web Articles—0
Building a SentiWordNet for Odia—0
Log-linear Models for Uyghur Segmentation in Spoken Language Translation—0
Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation—0
PJIIT's systems for WMT 2017 Conference—0
CUNI Experiments for WMT17 Metrics Task—0
STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble—0
DT\_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output—0
LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity—0
Improving Discourse Relation Projection to Build Discourse Annotated CorporaCode0
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation—0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation—0
Six Challenges for Neural Machine Translation—0
Multilingwis ^2 -- Explore Your Parallel Corpus—0
Exploring Properties of Intralingual and Interlingual Association Measures Visually—0
Crossing the border twice: Reimporting prepositions to alleviate L1-specific transfer errors—0
Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings—0
Show Me Your Variance and I Tell You Who You Are - Deriving Compound Compositionality from Word Alignments—0
Computational analysis of Gondi dialects—0
Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice—0
Slavic Forest, Norwegian Wood—0
Discovering Light Verb Constructions and their Translations from Parallel Corpora without Word Alignment—0
A Web-Based Interactive Tool for Creating, Inspecting, Editing, and Publishing Etymological DatasetsCode0
Neural Networks for Negation Cue Detection in Chinese—0
Show:102550
← PrevPage 9 of 23Next →
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