A method is presented for automatically augmenting the bilingual lexicon of an existing Machine Translation system, by extracting bilingual entries from aligned bilingual text. The proposed method only relies on the resources already available in the MT system itself. It is based on the use of bilingual lexical templates to match the terminal symbols in the parses of the aligned sentences.

We propose to model multiword expressions as dependency subgraphs, and realize this idea in the grammar formalism of Extensible Dependency Grammar (XDG). We extend XDG to lexicalize dependency subgraphs, and show how to compile them into simple lexical entries, amenable to parsing and generation with the existing XDG constraint solver.

We examine the feasibility of harvesting a wide-coverage lexicon of English verbs from the FrameNet semantically annotated corpus, intended for use in a practical natural language understanding (NLU) system. We identify a range of constructions for which current annotation practice leads to problems in deriving appropriate lexical entries, for example imperatives, passives and control, and disc...

This paper describes a new lexical resource: Ancora-Nom, a Spanish lexicon of deverbal nominalizations. At present, it contains 1,655 lexical entries and 3,094 senses. Each sense has a denotation type associated, and the mapping of nominal complements with arguments and the corresponding theta roles is also annotated. A particular interest of this lexicon is that it has been automatically extra...

We present in this paper how Prolexbase can be expressed within the LMF (Language resource management Lexical Markup Framework) ISO project framework. Prolexbase is a lexical resource of proper names, organized according to an onomasiological view, with entries based on the concept of conceptual proper name. In the same time, Prolexbase also focuses on morphological description of proper names....

This paper presents a statistical approach to unknown word type prediction for a deep HPSG grammar. Our motivation is to enhance robustness in deep processing. With a predictor which predicts lexical types for unknown words according to the context, new lexical entries can be generated on the fly. The predictor is a maximum entropy based classifier trained on a HPSG treebank. By exploring vario...

A class of constraint-based categorial grammars is proposed in which the construction of both logical forms and strings is specified completely lexically. Such grammars allow the construction of a uniform algorithm for both parsing and generation. Termination of the algorithm can be guaranteed if lexical entries adhere to a constraint, that can be seen as a computationally motivated version of ...

The paper describes GEMS, a system for Generating and Expressing the Meaning of Sentences, focussing on the generation task, i.e. how GEMS extracts a set of propositional units from a knowledge store that can be expressed with a well-formed sentence in a target language. GEMS is lexically distributed. After a central processor has selected the first unit(s) from the knowledge store and activate...

In this report we show that a lexicon can be designed in such a way that lexical coverage can be maximized by real-time lexicon expansion and a limited word part lexicon for Dutch speech recognition. More specifically, we describe how the lexicon is designed and how the real-time expansion module was built and tested. Tests were performed using a 36.000 entries lexicon. The test results show th...

This paper describes an automatic approach to identify lexical patterns which represent semantic relationships between concepts, from an on-line encyclopedia. Next, these patterns can be applied to extend existing ontologies or semantic networks with new relations. The experiments have been performed with the Simple English Wikipedia and WordNet 1.7. A new algorithm has been devised for automat...