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 161170 of 551 papers

TitleStatusHype
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task0
Tilde's Parallel Corpus Filtering Methods for WMT 20180
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation0
CEA LIST: Processing Low-Resource Languages for CoNLL 2018Code0
Streaming word similarity mining on the cheap0
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models0
LRS3-TED: a large-scale dataset for visual speech recognitionCode0
Feature-Based Decipherment for 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