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 141150 of 551 papers

TitleStatusHype
Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice0
A BiLSTM-based System for Cross-lingual Pronoun Prediction0
A Bayesian Model for Learning SCFGs with Discontiguous Rules0
Building a SentiWordNet for Odia0
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks0
Building a Hierarchically Aligned Chinese-English Parallel Treebank0
BTG-based Machine Translation with Simple Reordering Model using Structured Perceptron0
A Pilot Experiment on Exploiting Translations for Literary Studies on Kafka's ``Verwandlung''0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task0
Show:102550
← PrevPage 15 of 56Next →

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