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 251–300 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
NRC Russian-English Machine Translation System for WMT 2016—0
Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools—0
PJAIT Systems for the WMT 2016—0
Pronoun Prediction with Linguistic Features and Example Weighing—0
Edinburgh's Statistical Machine Translation Systems for WMT16—0
Sheffield Systems for the English-Romanian WMT Translation Task—0
Cross-lingual Pronoun Prediction with Linguistically Informed Features—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing—0
Alignment-Based Neural Machine Translation—0
Dependency Forest based Word Alignment—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
Cross-lingual alignment transfer: a chicken-and-egg story?—0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner—0
WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity—0
UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks—0
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box—0
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity—0
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity—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
An Attentional Model for Speech Translation Without Transcription—0
Scaling Up Word Clustering—0
Retrofitting Sense-Specific Word Vectors Using Parallel Text—0
BIRA: Improved Predictive Exchange Word ClusteringCode0
Deep API Learning—0
Capturing divergence in dependency trees to improve syntactic projection—0
Uzbek-English and Turkish-English Morpheme Alignment Corpora—0
WAGS: A Beautiful English-Italian Benchmark Supporting Word Alignment Evaluation on Rare Words—0
Large Multi-lingual, Multi-level and Multi-genre Annotation Corpus—0
Smoothing parameter estimation framework for IBM word alignment models—0
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine TranslationCode0
PJAIT Systems for the IWSLT 2015 Evaluation Campaign Enhanced by Comparable Corpora—0
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT—0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination—0
Graph-Based Word Alignment for Clinical Language Evaluation—0
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT—0
Unsupervised and Lightly Supervised Part-of-Speech Tagging Using Recurrent Neural Networks—0
Semantic Parsing via l_0-norm-based Alignment—0
Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity—0
One Tree is not Enough: Cross-lingual Accumulative Structure Transfer for Semantic Indeterminacy—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