نتایج جستجو برای: lexical coverage
تعداد نتایج: 115790 فیلتر نتایج به سال:
In this paper, the lexical characteristics of two Chinese dialects and American English are explored. Different lexical representations are investigated, including the tonal syllables, base syllables, phonemes, and the broad phonetic classes. Multiple measurements are made, such as coverage, uniqueness, and cohort sizes. Our results are based on lexicons of 44K and 52K words in Chinese and Engl...
In this paper we present the ongoing efforts to expand the depth and breath of the Open Multilingual Wordnet coverage by introducing two new classes of non-referential concepts to wordnet hierarchies: interjections and numeral classifiers. The lexical semantic hierarchy pioneered by Princeton Wordnet has traditionally restricted its coverage to referential and contentful classes of words: such ...
To judge how much a pair of words (or texts) are semantically related is a cognitive process. However, previous algorithms for computing semantic relatedness are largely based on co-occurrences within textual windows, and do not actively leverage cognitive human perceptions of relatedness. To bridge this perceptional gap, we propose to utilize free association as signals to capture such human p...
We present a lexical platform t h a t has been developed for the Spanish language. It achieves portabi l i ty between different computer systems and efficiency, in t e rms of lexical coverage. A model for t he full t r e a tmen t of Spanish inflectional morphology for verbs, nouns and adjectives is presented. This model permi t s word formation based solely on morpheme concatenat ion, driven by...
The coverage of a parser depends mostly on the quality of the underlying grammar and lexicon. The development of a lexicon both complete and accurate is an intricate and demanding task. We introduce a automatic process for detecting missing, incomplete and erroneous entries in a morphological and syntactic lexicon, and for suggesting corrections hypotheses for these entries. The detection of du...
The Bare Necessities: Increasing Lexical Coverage for Multi-Word Domain Terms with Less Lexical Data
We argue that many multi-word domain terms are not (and should not be regarded as) strictly atomic, especially from a parser’s point of view. We introduce the notion of Lexical Kernel Units (LKUs), and discuss some of their essential properties. LKUs are building blocks for lexicalizations of domain concepts, and as such, can be used for compositional derivation of an open-ended set of domain t...
In this paper, we explain how the notion of MetaGrammar, which has successfully been used for generating wide-coverage tree adjoining grammars (TAGs) for various languages such as French (Abeillé et al. (1999)) and German (Gerdes (2002)), may be used to generate a wide-coverage Lexical Functional Grammar (LFG) for French. We first introduce the notion of MetaGrammar and present the tools we use...
PanLex, a project of The Long Now Foundation, aims to enable the translation of lexemes among all human languages in the world. By focusing on lexemic translations, rather than grammatical or corpus data, it achieves broader lexical and language coverage than related projects. The PanLex database currently documents 20 million lexemes in about 9,000 language varieties, with 1.1 billion pairwise...
The psycholinguistic literature has identified two syntactic adaptation effects in language production: rapidly decaying short-term priming and long-lasting adaptation. To explain both effects, we present an ACT-R model of syntactic priming based on a wide-coverage, lexicalized syntactic theory that explains priming as facilitation of lexical access. In this model, two well-established ACT-R me...
We propose a supervised lexical substitution system that does not use separate classifiers per word and is therefore applicable to any word in the vocabulary. Instead of learning word-specific substitution patterns, a global model for lexical substitution is trained on delexicalized (i.e., non lexical) features, which allows to exploit the power of supervised methods while being able to general...
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