Abstract Calculating the Semantic Textual Similarity (STS) is an important research area in
natural language processing which plays a significant role in many applications such as …

Assessing linguistically aware fuzzy matching in translation memories Page 1 Assessing
linguistically aware fuzzy matching in translation memories Tom Vanallemeersch, Vincent …

We present TMop, the first open-source tool for automatic Translation Memory (TM)
cleaning. The tool implements a fully unsupervised approach to the task, which allows …

The TM memory systems changed the work of translators and now the translators not
benefiting from these tools are a tiny minority. These tools operate on fuzzy (surface) …

Generally, paraphrase detection or semantic similarity of necessity is to understand the
sentence as a whole sentence, but not just finding synonyms of the words. It is an important …

In the translation industry today, CAT tool environments are an indispensable part of the
translator's workflow. Translation memory systems constitute one of the most important …

We address the problem of automatically cleaning a translation memory (TM) by identifying
problematic translation units (TUs). In this context, we treat as “problematic TUs” those …

Corpora constitute one of the key resources for research in Natural Language Processing
and Translation Studies alike. As such, they can be the data being investigated, or the data …

Natural language inference (NLI) is a sentence-pair classification task wrt the entailment
relation. As already shown, certain deep learning architectures for NLI task–INFERSENT in …

Natural language inference (NLI), formerly known as recognizing textual entailment (RTE), is
one of the most important fields of natural language understanding. It can be stated as a …