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 76100 of 551 papers

TitleStatusHype
CimS -- The CIS and IMS joint submission to WMT 2014 translating from English into German0
Bilingually-constrained Phrase Embeddings for Machine Translation0
Annotated Guidelines and Building Reference Corpus for Myanmar-English Word Alignment0
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment0
Annotated Corpora for Word Alignment between Japanese and English and its Evaluation with MAP-based Word Aligner0
A Hybrid Approach for Automatic Extraction of Bilingual Multiword Expressions from Parallel Corpora0
Subword Sampling for Low Resource Word Alignment0
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora0
Bitext Name Tagging for Cross-lingual Entity Annotation Projection0
Book Review: Bitext Alignment by J\"org Tiedemann0
Bootstrapping Method for Chunk Alignment in Phrase Based SMT0
Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset - A Focus on an African Igbo0
Bootstrapping Multilingual AMR with Contextual Word Alignments0
Breaking Bad: Extraction of Verb-Particle Constructions from a Parallel Subtitles Corpus0
Bringing the Associative Ability to Social Tag Recommendation0
BTG-based Machine Translation with Simple Reordering Model using Structured Perceptron0
Building a Hierarchically Aligned Chinese-English Parallel Treebank0
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques0
Building a SentiWordNet for Odia0
CimS - The CIS and IMS Joint Submission to WMT 2015 addressing morphological and syntactic differences in English to German SMT0
A Recursive Recurrent Neural Network for Statistical Machine Translation0
Buy one get one free: Distant annotation of Chinese tense, event type and modality0
Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?0
Capturing divergence in dependency trees to improve syntactic projection0
Clustered Word Classes for Preordering in Statistical 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