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Found 13 papers, 0 papers with code
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages
Seven teams covered all six languages, and five teams participated in the cross-lingual entity linking task.
Unsupervised Induction of Ukrainian Morphological Paradigms for the New Lexicon: Extending Coverage for Named Entities and Neologisms using Inflection Tables and Unannotated Corpora
The paper presents an unsupervised method for quickly extending a Ukrainian lexicon by generating paradigms and morphological feature structures for new Named Entities and neologisms, which are not covered by existing static morphological resources.
MoBiL: A Hybrid Feature Set for Automatic Human Translation Quality Assessment
We compare MoBiL with the QuEst baseline set by using them in classifiers trained with support vector machine and relevance vector machine learning algorithms on the same data set.
Meta-evaluation of comparability metrics using parallel corpora
Our method gives consistent results for the same metrics on different data sets, which indicates that it is reliable and can be used for metric comparison or for optimising settings of parametrised metrics.
Development and Application of a Cross-language Document Comparability Metric
In this paper we present a metric that measures comparability of documents across different languages.
Identifying Word Translations from Comparable Documents Without a Seed Lexicon
The extraction of dictionaries from parallel text corpora is an established technique.
Collecting and Using Comparable Corpora for Statistical Machine Translation
Lack of sufficient parallel data for many languages and domains is currently one of the major obstacles to further advancement of automated translation.
