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

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Showing 151–200 of 551 papers

TitleStatusHype
On the Word Alignment from Neural Machine Translation—0
Ultrasound tongue imaging for diarization and alignment of child speech therapy sessionsCode0
Saliency-driven Word Alignment Interpretation for Neural Machine TranslationCode0
Learning Bilingual Word Embeddings Using Lexical Definitions—0
Language Learning and Processing in People and Machines—0
Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech TranslationCode0
Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset - A Focus on an African Igbo—0
Adding Interpretable Attention to Neural Translation Models Improves Word AlignmentCode0
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation ProjectionCode0
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
CEA LIST: Processing Low-Resource Languages for CoNLL 2018Code0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
Tilde's Parallel Corpus Filtering Methods for WMT 2018—0
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora—0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Streaming word similarity mining on the cheap—0
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models—0
LRS3-TED: a large-scale dataset for visual speech recognitionCode0
Feature-Based Decipherment for Machine Translation—0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment—0
Constructing an Annotated Corpus of Verbal MWEs for English—0
LanguageNet: Learning to Find Sense Relevant Example Sentences—0
Orthographic Features for Bilingual Lexicon Induction—0
Read and Comprehend by Gated-Attention Reader with More Belief—0
Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation—0
Investigating the Influence of Bilingual MWU on Trainee Translation Quality—0
Using English Baits to Catch Serbian Multi-Word Terminology—0
ZAP: An Open-Source Multilingual Annotation Projection Framework—0
Building Named Entity Recognition Taggers via Parallel CorporaCode0
NegPar: A parallel corpus annotated for negation—0
The Use of Text Alignment in Semi-Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners—0
Multimodal Lexical TranslationCode0
Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery—0
A Hybrid Approach for Automatic Extraction of Bilingual Multiword Expressions from Parallel Corpora—0
No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP—0
L1-L2 Parallel Treebank of Learner Chinese: Overused and Underused Syntactic Structures—0
Creating a Translation Matrix of the Bible's Names Across 591 LanguagesCode0
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding—0
Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation—0
Phonologically Informed Edit Distance Algorithms for Word Alignment with Low-Resource Languages—0
Adversarial Structured Prediction for Multivariate Measures—0
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual PivotingCode0
BTG-based Machine Translation with Simple Reordering Model using Structured Perceptron—0
Word Translation Without Parallel DataCode0
Low-resource bilingual lexicon extraction using graph based word embeddings—0
Transferring Semantic Roles Using Translation and Syntactic Information—0
A Deep Neural Network Approach To Parallel Sentence Extraction—0
Log-linear Models for Uyghur Segmentation in Spoken Language Translation—0
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All datasetsen-esen-fres-enfr-enen-itMUSE en-deMUSE en-pt

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