The paper investigates the problem of sentence readability assessment, which is modelled
as a classification task, with a specific view to text simplification. In particular, it addresses …

The paper investigates impact and role of different feature types for the specific task of
Automatic Genre Classification with the final aim of identifying the most predictive ones. The …

Title: Novel Methods for Natural Language Generation in Spoken Dialogue Systems Author:
Ondřej Dušek Department: Institute of Formal and Applied Linguistics Supervisor: Ing. Mgr …

We explore lexical choice in Natural Language Generation (NLG) by implementing a model
that uses both context and frequency information. Our model chooses a lemma given a …

In this work lexical choice in generation for Machine Translation is explored using lexical
semantics. We address this problem by replacing lemmas with synonyms in the abstract …

This thesis explores novel approaches to natural language generation (NLG) in spoken
dialogue systems (ie, generating system responses to be presented the user), aiming at …

In this thesis, we investigate the use of transfer-based MT systems with interlingual
representations of words. This way, we approach the problem of lexical ambiguity in …