In this paper we discuss morpho-syntactic clues that can be used to facilitate terminological processing in Serbian. A method (called SRCE) for automatic extraction of multiword terms is presented. The approach incorporates a set of generic morpho-syntactic filters for recognition of term candidates, a method for conflation of morphological variants and a module for foreign word recognition. Mo...

We report about tools for the extraction of German multiword expressions (MWEs) from text corpora; we extract word pairs, but also longer MWEs of different patterns, e.g. verb-noun structures with an additional prepositional phrase or adjective. Next to standard association-based extraction, we focus on morpho-syntactic, syntactic and lexical-choice features of the MWE candidates. A broad range...

In this article we present a method for generating and applying syntactic motivated patterns in order to develop a foreign language learning mechanism. The patterns have been extracted from a parallel corpus that has been automatically annotated for morpho-syntactic descriptions and syntactic constituents. The proposed language learning framework is not designed around the wellknown list of wor...

We present a machine learning framework for resolving other-anaphora. Besides morpho-syntactic, recency, and semantic features based on existing lexical knowledge resources, our algorithm obtains additional semantic knowledge from the Web. We search the Web via lexico-syntactic patterns that are specific to other-anaphors. Incorporating this innovative feature leads to an 11.4 percentage point ...

Functional brain imaging studies have improved our knowledge of the neural localization of language functions and the functional reorganization after a lesion. However, the neural correlates of agrammatic symptoms in aphasia remain largely unknown. The present fMRI study examined the neural correlates of morpho-syntactic encoding and agrammatic errors in continuous language production by combin...

Text tagging is a very important tool for various applications in natural language processing, namely the morphological and syntactic analysis of texts, indexation and information retrieval, "vocalization" of Arabic texts, and probabilistic language model (n-class model). However, these systems based on the lexemes of limited size, are unable to treat unknown words consequently. To overcome thi...

This article describes possibilities of using OntoLex as a model for creating an ontology of morpho-syntactic properties of the Russian language. For this purpose we analysed morpho-syntactic properties of Russian, given in LexInfo and then extended it with grammatical categories that are not represented or that are not correctly defined in LexInfo. The introduced supplements and adjustments en...

In this paper, we present a method of avoiding the combinatorial explosion encountered in Factored Models during the construction of translation options caused by the large number of possible combinations of target language lemmas and morpho-syntactic factors. We automatically extract factor templates from a word-aligned annotated bilingual corpus and use them to distinguish which morpho-syntac...

We present a method of the structural collocations extraction for an inflective language (Polish) based on the process divided into two phases: extraction and filtering of the pairs of wordforms reduced to baseforms and structural annotation of the extracted collocations with lexico-syntactic patterns. The parameters of the patterns are specified manually but their instances are generated and t...