Part-of-Speech (PoS) Tagging – the automatic annotation of lexical categories – is a widely used early stage of linguistic text analysis. One approach, rule-based morphological anaylsis, employs linguistic knowledge in the form of hand-coded rules to derive a set of possible analyses for each input token, but is known to produce highly ambiguous results. Stochastic tagging techniques such as Hi...

Empirical distributional methods account for the meaning of syntactic structures by combining words according to algebraic operators (e.g. tensor product) acting over the corresponding lexical constituents. In this paper, a novel approach for semantic composition based on space projection techniques over the basic geometric lexical representations is proposed. In line with Frege’s context princ...

The earliest work on automatic detection of implicit discourse relations relied on lexical features. More recently, researchers have demonstrated that syntactic features are superior to lexical features for the task. In this paper we re-examine the two classes of state of the art representations: syntactic production rules and word pair features. In particular, we focus on the need to reduce sp...

Two studies examined the role of phonological cues in the lexical categorization of new words when children could also rely on learning by exclusion and whether the role of phonology depends on extensive experience with a language. Phonological cues were assessed via phonological typicality - an aggregate measure of the relationship between the phonology of a word and the phonology of words in ...

this paper examines the semantic contribution of -?r and -andeh suffixes in persian based on lieber’s (2004) lexical semantic representation. this framework using six semantic features ([material], [dynamic], [location], [ieps] , [b] and [ci] and a principle called coordination principle studies the semantic contribution of lexical items including affixes and their functions in compounding, der...

Horizontal redundancy is inherent to lex-ica consisting of descriptions of fully formed objects. This causes an unwelcome expansion of the lexical database and increases parsing time. To eliminate it, direct relations between descriptions of fully formed objects are often deened. These are additional to the (Typed Multiple) Inheritance Network which already structures the lexicon. Many implemen...

The purpose of this study was twofold: (a) to assess the retention of two word types (synonyms and homonyms) in the short term memory, and (b) to investigate the effect of these word types on word learning by asking learners to learn their Persian meanings. A total of 73 Iranian language learners studying English translation participated in the study. For the first purpose, 36 freshmen from an ...

In multi-word utterances, target words need to be selected in the context of other target words. In the present study, three hypotheses were tested that differed in their assumptions about whether the lexical selection mechanism considers the activation levels of the other target lexical representations, and whether it takes into account their grammatical class properties. Participants produced...

We present a classifier to predict contextual polarity of subjective phrases in a sentence. Our approach features lexical scoring derived from the Dictionary of Affect in Language (DAL) and extended through WordNet, allowing us to automatically score the vast majority of words in our input avoiding the need for manual labeling. We augment lexical scoring with n-gram analysis to capture the effe...

Over the last twenty years or so, the approaches to partof-speech tagging based on machine learning techniques have been developed or ported to provide high-accuracy morpho-lexical annotation for an increasing number of languages. Given the large number of morpho-lexical descriptors for a morphologically complex language, one has to consider ways to avoid the data sparseness threat in standard ...