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 351360 of 551 papers

TitleStatusHype
Learning to Identify Sentence Parallelism in Student Essays0
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT0
Learning Trajectory-Word Alignments for Video-Language Tasks0
Leave-one-out Word Alignment without Garbage Collector Effects0
Length-Incremental Phrase Training for SMT0
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering0
Line-a-line: A Tool for Annotating Word-Alignments0
LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity0
Locality Preserving Loss: Neighbors that Live together, Align together0
Log-linear Models for Uyghur Segmentation in Spoken Language Translation0
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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