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 8190 of 551 papers

TitleStatusHype
A Hybrid Approach for Automatic Extraction of Bilingual Multiword Expressions from Parallel Corpora0
Subword Sampling for Low Resource Word Alignment0
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora0
Bitext Name Tagging for Cross-lingual Entity Annotation Projection0
Book Review: Bitext Alignment by J\"org Tiedemann0
Bootstrapping Method for Chunk Alignment in Phrase Based SMT0
Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset - A Focus on an African Igbo0
Bootstrapping Multilingual AMR with Contextual Word Alignments0
Breaking Bad: Extraction of Verb-Particle Constructions from a Parallel Subtitles Corpus0
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques0
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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