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 171180 of 551 papers

TitleStatusHype
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
LanguageNet: Learning to Find Sense Relevant Example Sentences0
Constructing an Annotated Corpus of Verbal MWEs for English0
Orthographic Features for Bilingual Lexicon Induction0
Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation0
Read and Comprehend by Gated-Attention Reader with More Belief0
The Use of Text Alignment in Semi-Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners0
Building Named Entity Recognition Taggers via Parallel CorporaCode0
L1-L2 Parallel Treebank of Learner Chinese: Overused and Underused Syntactic Structures0
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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