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
Effects of Parsing Errors on Pre-Reordering Performance for Chinese-to-Japanese SMT0
Efficient Neural Machine Translation with Prior Word Alignment0
Efficient Top-Down BTG Parsing for Machine Translation Preordering0
Bilingually-constrained Phrase Embeddings for Machine Translation0
Annotated Guidelines and Building Reference Corpus for Myanmar-English Word Alignment0
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings0
En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects0
End-to-End Neural Word Alignment Outperforms GIZA++0
DLS@CU: Sentence Similarity from Word Alignment0
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment0
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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