Semantic Textual Similarity (STS) measures the meaning similarity of sentences.
Applications include machine translation (MT), summarization, generation, question …

When linguistics meets web technologies. Recent advances in modelling linguistic linked data
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The SIGMORPHON 2022 shared task on morpheme segmentation challenged systems to
decompose a word into a sequence of morphemes and covered most types of morphology …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

The CMU Wilderness Multilingual Speech Dataset (Black, 2019) is a newly published
multilingual speech dataset based on recorded readings of the New Testament. It provides …

This paper proposes to use distributed representation of words (word embeddings) in cross-
language textual similarity detection. The main contributions of this paper are the …

A large number of machine translation approaches have recently been developed to
facilitate the fluid migration of content across languages. However, the literature suggests …

The Universal Morphology (UniMorph) project is a collaborative effort providing broad-
coverage instantiated normalized morphological inflection tables for hundreds of diverse …

Natural Language Processing (NLP) is a scientific discipline which is found at the
intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology …

Bilingual electronic dictionaries contain collections of lexical entries in two languages, with
explicitly declared translation relations between such entries. Nevertheless, they are …