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Found 13 papers, 2 papers with code
Towards Precise Lexicon Integration in Neural Machine Translation
We also propose a metric to measure the terminological consistency of the translation.
Measuring University Impact: Wikipedia approach
In this paper, we discuss the new methodological technique that evaluates the impact of university based on popularity (number of page-views) of their alumni's pages on Wikipedia.
Context-Aware Text Normalisation for Historical Dialects
We propose a multidialect normaliser with a context-aware reranking of the candidates.
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd
The study of argumentation and the development of argument mining tools depends on the availability of annotated data, which is challenging to obtain in sufficient quantity and quality.
Machine Translation and Automated Analysis of the Sumerian Language
The methodology includes creation of a specialized NLP pipeline and also the use of linguistic linked open data to increase access to the results.
Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite
To our knowledge, this is the first attempt of statistical POS tagging of a cuneiform language.
Combining Ontologies and Neural Networks for Analyzing Historical Language Varieties. A Case Study in Middle Low German
In this paper, we describe experiments on the morphosyntactic annotation of historical language varieties for the example of Middle Low German (MLG), the official language of the German Hanse during the Middle Ages and a dominant language around the Baltic Sea by the time.
Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations
We present a new large dataset of 12403 context-sensitive verb relations manually annotated via crowdsourcing.
