In translation practice, typological differences between languages can pose problems in such a way that the translator has to compensate a source language structure which does not exist in the target language. It is, however, not always easy to find an adequate translation equivalent for such a lacking structure. The aim of this paper is to show how a multiply annotated and aligned corpus can b...

This paper presents a novel approach to machine translation evaluation by combining register features – characterised by particular distributions of lexico-grammatical features – with text classification techniques. The goal of this method is to compare machine translation output with comparable originals in the same language, as well as with human reference translations. The degree of similari...

Objective: The objectives of the study are to identify and categorize non-native students´ errors in written summaries, see which research instruments – mobile reading app (experimental group) or internet-based article (control more effective, determine if language proficiency students will improve. Methods: This uses an analysis linguistic-stylistic as a method on performance 29 EFL Slovak sum...

We present a machine learning framework for resolving other-anaphora. Besides morpho-syntactic, recency, and semantic features based on existing lexical knowledge resources, our algorithm obtains additional semantic knowledge from the Web. We search the Web via lexico-syntactic patterns that are specific to other-anaphors. Incorporating this innovative feature leads to an 11.4 percentage point ...

This paper describes our contribution to the SemEval-2015 task 17 on “Taxonomy Extraction Evaluation”. We propose a hypernym detection system combining three modules: a lexico-syntactic pattern matcher, a morphosyntactic analyzer and a module retrieving hypernym relations from structured lexical resources. Our system ranked first in the competition when considering the gold standard and manual ...

We present in this paper a method to automatically acquire a syntactic lexicon of subcategorization frames for French verbs directly from large corpora. The method is evaluated against existing lexical resources: we show that our system is capable of producing new frames that were not previously registered. Lastly, we show that it is possible to induce lexico-semantic classes « à la Levin » (19...

Understanding leadership as a discursive performance, this study explores televised speeches and press briefings on Covid-19 given by the German chancellor Angela Merkel in March April 2020. Merkel’s communications deserve special attention for at least two reasons; first, was hailed one of few national leaders who successfully led through first wave pandemic. Secondly, her were praised example...

Due to the market sensitivity to emerging news, investors on financial markets need to continuously monitor financial events when deciding on buying and selling equities. We propose the use of lexico-semantic patterns for financial event extraction from RSS news feeds. These patterns use financial ontologies, leveraging the commonly used lexico-syntactic patterns to a higher abstraction level, ...

In this paper we present an automatic, language-independent approach to extend an existing wordnet by recycling existing freely available bilingual resources, such as machine-readable dictionaries and on-line encyclopaedias. The approach is applied to Slovene and French. The words extracted from the bilingual resources are assigned one or several synset ids based on a classifier that relies on ...

Wordnets are lexico-semantic resources essential in many NLP tasks. Princeton WordNet is the most widely known, and the most influential, among them. Wordnets for languages other than English tend to adopt unquestioningly WordNet’s structure and its net of lexicalised concepts. We discuss a large wordnet constructed independently of WordNet, upon a model with a small yet significant difference....