We introduce DeLex, a freely-avaible, large-scale and linguistically grounded morphological lexicon for German developed within the Alexina framework. We extracted lexical information from the German wiktionary and developed a morphological inflection grammar for German, based on a linguistically sound model of inflectional morphology. Although the developement of DeLex involved some manual wor...

This paper describes the systems deployed by the ALPAGE team to participate to the SemEval-2014 Task on Broad-Coverage Semantic Dependency Parsing. We developed two transition-based dependency parsers with extended sets of actions to handle non-planar acyclic graphs. For the open track, we worked over two orthogonal axes – lexical and syntactic – in order to provide our models with lexical and ...

We describe a morphological analyzer for the Swahili language, written in an extension of XFST/LEXC intended for the easy declaration of morphophonological patterns and importation of lexical resources. Our analyzer was supplemented extensively with data from the Kamusi Project (kamusi.org), a user-contributed multilingual dictionary. Making use of this resource allowed us to achieve wide lexic...

Lexical knowledge plays a vital role for systems translating between natural language and structured data, and an important part of such lexical knowledge are adjectives. In this paper we introduce a low-cost method for automatically acquiring adjective lexicalizations of restriction classes from a knowledge base by inspecting the range of properties. The resulting lexicalizations can then, for...

Automatically inferring new relations from already existing ones is a way to improve the quality and coverage of a lexical network and to perform error detection. In this paper, we devise such an approach for the crowdsourced JeuxDeMots lexical network and we focus especially on word refinements. We first present deduction (generic to specific) and induction (specific to generic) which are two ...

In this paper we describe some ways to utilize various lexical resources to improve the quality of statistical machine translation system. We have augmented the training corpus with various lexical resources such as IndoWordnet semantic relation set, function words, kridanta pairs and verb phrases etc. Our research on the usage of lexical resources mainly focused on two ways such as augmenting ...

In this contribution we report on our ongoing work in lexical decomposition for automatic speech recognition (ASR). Lexical decomposition is investigated with a twofold goal: lexical coverage optimization and improved automatic letter-tosound conversion. Whereas morphological decomposition is a widely-studied domain in linguistics, our interest is limited here to identifying and processing the ...

We present three approaches to lexical chaining based on the LDA topic model and evaluate them intrinsically on a manually annotated set of German documents. After motivating the choice of statistical methods for lexical chaining with their adaptability to different languages and subject domains, we describe our new two-level chain annotation scheme, which rooted in the concept of cohesive harm...

The modern computational lexical semantics has reached a point in its development when it has become useful to compare the goals and methods of the various approaches to it. This article proposes several choices in terms of which these goals and methods can be discussed. It is argued that the central questions include the use of lexical rules for generating word senses; the role of syntax and f...