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 301–350 of 551 papers

TitleStatusHype
CimS - The CIS and IMS Joint Submission to WMT 2015 addressing morphological and syntactic differences in English to German SMT—0
Computational Integration of Human Vision and Natural Language through Bitext Alignment—0
Consistency-Aware Search for Word Alignment—0
Cross-lingual Synonymy Overlap—0
Edinburgh's Syntax-Based Systems at WMT 2015—0
Generalized Agreement for Bidirectional Word Alignment—0
How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models—0
Improving fast\_align by Reordering—0
Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar—0
Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity—0
Leave-one-out Word Alignment without Garbage Collector Effects—0
Morphological Segmentation and OPUS for Finnish-English Machine Translation—0
One Tree is not Enough: Cross-lingual Accumulative Structure Transfer for Semantic Indeterminacy—0
On Statistical Machine Translation and Translation Theory—0
Part-of-speech Taggers for Low-resource Languages using CCA Features—0
Semantic Parsing via l_0-norm-based Alignment—0
USAAR-SAPE: An English--Spanish Statistical Automatic Post-Editing System—0
Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels—0
FAQ-based Question Answering via Word Alignment—0
Efficient Top-Down BTG Parsing for Machine Translation Preordering—0
Knowledge-lean projection of coreference chains across languages—0
Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT—0
Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation—0
WA-Continuum: Visualising Word Alignments across Multiple Parallel Sentences Simultaneously—0
Inverted indexing for cross-lingual NLP—0
Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation—0
Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation—0
Word Order Typology through Multilingual Word Alignment—0
Harmonizing word alignments and syntactic structures for extracting phrasal translation equivalents—0
Paraphrase Identification and Semantic Similarity in Twitter with Simple Features—0
Bilingual lexicon extraction for a distant language pair using a small parallel corpus—0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation—0
Improving the Translation of Discourse Markers for Chinese into English—0
Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments—0
SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching—0
Tools for Digital Humanities: Enabling Access to the Old Occitan Romance of Flamenca—0
Semantics-based pretranslation for SMT using fuzzy matches—0
TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay—0
Improving Chinese-English PropBank Alignment—0
DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition—0
Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity—0
Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms—0
A Pilot Experiment on Exploiting Translations for Literary Studies on Kafka's ``Verwandlung''—0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks—0
FBK-HLT: A New Framework for Semantic Textual Similarity—0
Latent Domain Word Alignment for Heterogeneous Corpora—0
Multi-Task Word Alignment Triangulation for Low-Resource Languages—0
Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data—0
Improving the Cross-Lingual Projection of Syntactic Dependencies—0
Fast and Accurate Preordering for SMT using Neural Networks—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