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 121130 of 551 papers

TitleStatusHype
Constrained Hidden Markov Model for Bilingual Keyword Pairs Alignment0
Constructing an Annotated Corpus of Verbal MWEs for English0
Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection0
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment0
Contrastive Unsupervised Word Alignment with Non-Local Features0
Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool0
Bilingual lexicon extraction for a distant language pair using a small parallel corpus0
An Information Theoretic Approach to Bilingual Word Clustering0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation0
Bilingual Data Cleaning for SMT using Graph-based Random Walk0
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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