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 311320 of 551 papers

TitleStatusHype
Leave-one-out Word Alignment without Garbage Collector Effects0
Morphological Segmentation and OPUS for Finnish-English Machine Translation0
One Tree is not Enough: Cross-lingual Accumulative Structure Transfer for Semantic Indeterminacy0
On Statistical Machine Translation and Translation Theory0
Part-of-speech Taggers for Low-resource Languages using CCA Features0
Semantic Parsing via l_0-norm-based Alignment0
USAAR-SAPE: An English--Spanish Statistical Automatic Post-Editing System0
Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels0
FAQ-based Question Answering via Word Alignment0
Efficient Top-Down BTG Parsing for Machine Translation Preordering0
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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