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

Showing 281290 of 551 papers

TitleStatusHype
WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity0
An Attentional Model for Speech Translation Without Transcription0
RICOH at SemEval-2016 Task 1: IR-based Semantic Textual Similarity Estimation0
BIRA: Improved Predictive Exchange Word ClusteringCode0
Deep API Learning0
Capturing divergence in dependency trees to improve syntactic projection0
Uzbek-English and Turkish-English Morpheme Alignment Corpora0
WAGS: A Beautiful English-Italian Benchmark Supporting Word Alignment Evaluation on Rare Words0
Large Multi-lingual, Multi-level and Multi-genre Annotation Corpus0
Smoothing parameter estimation framework for IBM word alignment models0
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Benchmark Results

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