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 371380 of 551 papers

TitleStatusHype
System Description: Dependency-based Pre-ordering for Japanese-Chinese Machine Translation0
TakeTwo: A Word Aligner based on Self Learning0
Target word activity detector: An approach to obtain ASR word boundaries without lexicon0
:telephone::person::sailboat::whale::okhand: ; or ``Call me Ishmael'' -- How do you translate emoji?0
:telephone::person::sailboat::whale::okhand:; or "Call me Ishmael" - How do you translate emoji?0
Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery0
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting0
The Karlsruhe Institute of Technology Translation Systems for the WMT 20130
The Karlsruhe Institute of Technology Translation Systems for the WMT 20120
The Karlsruhe Institute of Technology Translation Systems for the WMT 20140
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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