We investigated the effect of semantic and phonemic ambiguity on lexical decision and naming performance in the deep Hebrew orthography. Experiment 1 revealed that lexical decisions for ambiguous consonant strings are faster than those for any of the highor low-frequency voweled alternative meanings of the same strings. These 1'esults suggested that lexical decisions for phonemically and semant...

Valence changing lexical rules are a problematic component of constraint-based grammar formalisms. Lexical rules of this type are procedural, require defaults, and may easily lead to spurious ambiguity. Relational constraints can be used to eliminate such rules. The relational approach does not require defaults, is declarative, avoids spurious ambiguity, and can be an integrated part of a hiera...

For our second participation to the Robust Word Sense Disambiguation (WSD) Task, we focused on performing a deep analysis of the ambiguity issue in the field of Information Retrieval. During the 2008 edition, we noted that although the WSD corpus allowed lifting lexical ambiguities, our results based on the corpus' WSD were not clearly better than those based on words only. We showed that lexic...

The scalar particle mo in Japanese gives rise to ambiguity in negative contexts. In this paper we argue that the ambiguity cannot be accounted for as a scopal ambiguity, and propose a lexical ambiguity account. In particular, we observe that the distribution of the small reading of mo is limited to a subset of NPI licensing environments, and is sensitive to presuppositions, from which we conclu...

Entity extraction is considered as a fundamental step in many text mining applications such as machine translation, text summarization and text categorization. However, the major challenging issue in extracting the entity from a sentence is the ambiguity problem, namely lexical ambiguity. While a human has a cognitive capability to resolve the meaning easily based on his/her knowledge, it is ve...

We examined the neural correlates of semantic ambiguity by measuring changes in MEG recordings during a visual lexical decision task in which the properties of ambiguous words were manipulated. Words that are ambiguous between unrelated meanings (like bark, which can refer to a tree or to a dog) were accessed more slowly than words that have no unrelated meanings (such as cage). In addition, wo...