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 251–275 of 551 papers

TitleStatusHype
Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation—0
Planting Trees in the Desert: Delexicalized Tagging and Parsing Combined—0
Yet Another Symmetrical and Real-time Word Alignment Method: Hierarchical Sub-sentential Alignment using F-measure—0
Moses \& Treex Hybrid MT Systems Bestiary—0
Inducing Multilingual Text Analysis Tools Using Bidirectional Recurrent Neural Networks—0
The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition—0
Alignment-Based Neural Machine Translation—0
NRC Russian-English Machine Translation System for WMT 2016—0
Pronoun Prediction with Linguistic Features and Example Weighing—0
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing—0
PJAIT Systems for the WMT 2016—0
Edinburgh's Statistical Machine Translation Systems for WMT16—0
Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
Dependency Forest based Word Alignment—0
Cross-lingual Pronoun Prediction with Linguistically Informed Features—0
Sheffield Systems for the English-Romanian WMT Translation Task—0
Word Alignment without NULL Words—0
Neural Name Translation Improves Neural Machine Translation—0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Neural Network-based Word Alignment through Score Aggregation—0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner—0
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box—0
ISCAS\_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features—0
RICOH at SemEval-2016 Task 1: IR-based Semantic Textual Similarity Estimation—0
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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