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 141–150 of 551 papers

TitleStatusHype
Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice—0
A BiLSTM-based System for Cross-lingual Pronoun Prediction—0
A Bayesian Model for Learning SCFGs with Discontiguous Rules—0
Building a SentiWordNet for Odia—0
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques—0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks—0
Building a Hierarchically Aligned Chinese-English Parallel Treebank—0
BTG-based Machine Translation with Simple Reordering Model using Structured Perceptron—0
A Pilot Experiment on Exploiting Translations for Literary Studies on Kafka's ``Verwandlung''—0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.26—Unverified
2Adv - Refine - CSLSP@181.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@182.94—Unverified
2Adv - Refine - CSLSP@182.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.5—Unverified
2Adv - Refine - CSLSP@183.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@183.23—Unverified
2Adv - Refine - CSLSP@182.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@181.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@174.08—Unverified
#ModelMetricClaimedVerifiedStatus
1Barycenter AlignmentP@184.65—Unverified