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 471480 of 551 papers

TitleStatusHype
A Formal Characterization of Parsing Word Alignments by Synchronous Grammars with Empirical Evidence to the ITG Hypothesis.0
A Generalized Constraint Approach to Bilingual Dictionary Induction for Low-Resource Language Families0
A Hybrid Approach for Automatic Extraction of Bilingual Multiword Expressions from Parallel Corpora0
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora0
A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task0
A Lightweight and High Performance Monolingual Word Aligner0
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective0
Alignment-Based Neural Machine Translation0
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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