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 321330 of 551 papers

TitleStatusHype
Knowledge-lean projection of coreference chains across languages0
Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation0
WA-Continuum: Visualising Word Alignments across Multiple Parallel Sentences Simultaneously0
Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT0
Word Order Typology through Multilingual Word Alignment0
Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation0
Inverted indexing for cross-lingual NLP0
Efficient Top-Down BTG Parsing for Machine Translation Preordering0
Paraphrase Identification and Semantic Similarity in Twitter with Simple Features0
Semantics-based pretranslation for SMT using fuzzy matches0
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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