The domain of lexical combinatorics has received much interest over the last years, in syntax, lexical semantics and lexicology, but also in lexicography, terminology, terminography and in Natural Language Processing (NLP). If the field of combinatorics can maybe trivially be defined by the fact that it deals with syntagmatic combination phenomena involving two or more lexemes, it is much harde...

In this paper, I will give a detailed account of vowel harmony, disharmony, dissimilation, and elision in Yucatec Maya. These phenomena provide insights for the treatment of assimilation in Optimality Theory (Prince & Smolensky 1993). The theoretical topics to be dealt with are (i) an adequate formalisation of phonological feature assimilation within Correspondence Theory (McCarthy & Prince 199...

This paper introduces context digests, high-dimensional real-valued representations for the typical left and right contexts of a word. Initial entries for the context digests are formed from the word’s close left and right neighbors. A singular value decomposition reduces the dimensionality of the space to enable subsequent efficient processing. In contrast to similar techniques, no preprocesso...

It is shown that basic language processes such as the production of free word associations and the generation of synonyms can be simulated using statistical models that analyze the distribution of words in large text corpora. According to the law of association by contiguity, the acquisition of word associations can be explained by Hebbian learning. The free word associations as produced by sub...

A very large Russian dictionary is described. It contains currently 3.6 million links between its 120,000 entries. The links are syntagmatic (collocations), paradigmatic (WordNet-like), or paronymic (words similar in letters or in morphs). The entries of the dictionary are singleor multiwords belonging to four main POS. The entries represent so-called grammemes rather than lexemes: e.g., nouns ...

This paper proposes a semi-supervised approach for WSD in Word-Class based selectional preferences. The approach exploits syntagmatic and paradigmatic semantic redundancy in the semantic system and uses association computation and minimum description length for the task of WSD. Experiments on Predicate-Object collocations and Subject-Predicate collocations with polysemous predicates in Chinese ...

In this paper we propose a mixed method for Word Sense Disambiguation, which combines lexical knowledge from EuroWordNet with corpora. The method tries to give a partial solution to the problem of the gap between lexicon and corpus by means of the approximation of the corpus to the lexicon. On the basis of the interaction that holds in natural language between the syntagmatic and the paradigmat...

This paper raises and discusses three questions about the structure of Meaning-Text Theory, based on consideration of the role that paradigmatic Lexical Functions play in its model of the lexicon: Is the paradigmatic-syntagmatic distinction meaningful? Do paradigmatic LFs represent redundant semantic information (and if so, is the redundancy justified)? And finally, might definitions of lexemes...

We present a semi-supervised technique for word sense disambiguation that exploits external knowledge acquired in an unsupervised manner. In particular, we use a combination of basic kernel functions to independently estimate syntagmatic and domain similarity, building a set of word-expert classifiers that share a common domain model acquired from a large corpus of unlabeled data. The results s...

We investigate paradigmatic representations of word context in the domain of unsupervised syntactic category acquisition. Paradigmatic representations of word context are based on potential substitutes of a word in contrast to syntagmatic representations based on properties of neighboring words. We compare a bigram based baseline model with several paradigmatic models and demonstrate significan...