This paper presents a statistical lexical ambiguity resolution method in direct transfer machine translation models in which the target language is Turkish. Since direct transfer MT models do not have full syntactic information, most of the lexical ambiguity resolution methods are not very helpful. Our disambiguation model is based on statistical language models. We have investigated the perfor...

In this paper we calculate and analyse the lexical ambiguity of queries in a crosslingual Image Retrieval (Flickling) and compare it with the results obtained by users. We want to know to what extent the lexical ambiguity of a query influences the correct localization of an image in a multilingual framework. With this, our final objective is to determine the necessity of Word Sense Disambiguati...

In this article, ambiguity and synonymy effects were examined in lexical decision, naming, and semantic categorization tasks. Whereas the typical ambiguity advantage was observed in lexical decision and naming, an ambiguity disadvantage was observed in semantic categorization. In addition, a synonymy effect (slower latencies for words with many synonyms than for words with few synonyms) was obs...

Since Perlmutter (1968, 1970) argued that English aspectual verbs are ambiguous between control and raising, the phenomenon has been argued or assumed to exist in a number of other languages, such as French (Lamiroy 1987, Ruwet 1991), German (Wurmbrand 2001), Greek (Alexiadou & Anagnostopoulou 1999), Hebrew (Landau 2003), Italian (Rizzi 1982, Burzio 1986), Japanese (Shibatani 1973, 1978, Kuno 1...

Marcus' original deterministic parsing included almost no part-of-speech ambiguity. In this paper, the addition of part-of-speech ambiguity to a deterministic parser written in Prolog is described. To handle this ambiguity, it was necessary to add no special mechanisms to the parser. Instead the grammar rules were made to enforce agreement, and reject ungrammatical sentences. The resulting syst...

Ambiguity resolution is a central problem in language comprehension. Lexical and syntactic ambiguities are standardly assumed to involve different types of knowledge representations and be resolved by different mechanisms . An alternative account is provided in which both types of ambiguity derive from aspects of lexical representation and are resolved by the same processing mechanisms . Reinte...

We suggest an approach to resolution of context-dependent lexical and syntactic ambiguity in a framework of ontology population from natural language texts. We show that a set of maximally determined ontology instances can be represented as a Scott information system with an entailment relation as a collection of information connections. Moreover, consistent primary lexical instances form FCA-c...