when studying russian morphology, one can distinguish two categories. these categories are “grammatical” and “lexico-grammatical”. grammatical categories can be specified through a series of grammatical features of words. considering different criteria, russian grammarians and linguists divide grammatical categories of their language into different types. in determining lexico-grammatical types...

This paper presents a hybrid approach for named entity (NE) tagging which combines Maximum Entropy Model (MaxEnt), Hidden Markov Model (HMM) and handcrafted grammatical rules. Each has innate strengths and weaknesses; the combination results in a very high precision tagger. MaxEnt includes external gazetteers in the system. Sub-category generation is also discussed.

We describe our system for the translation task of WMT 2010. This system, developed for the English-French and FrenchEnglish directions, is based on Moses and was trained using only the resources supplied for the workshop. We report experiments to enhance it with out-of-domain parallel corpora sub-sampling, N-best list post-processing and a French grammatical checker.

Abstractive text summarization of news requires a way of representing events, such as a collection of pattern clusters in which every cluster represents an event (e.g., marriage) and every pattern in the cluster is a way of expressing the event (e.g., X married Y, X and Y tied the knot). We compare three ways of extracting event patterns: heuristics-based, compressionbased and memory-based. Whi...

Functional chunks are defined as a series of non-overlapping, non-nested segments of text in a sentence, representing the implicit grammatical relations between the sentence-level predicates and their arguments. Its top-down scheme and complexity of internal constitutions bring in a new challenge for automatic parser. In this paper, a new parsing model is proposed to formulate the complete chun...

To improve the performance of continuous speech recognition, it is effective to incorporate grammatical knowledge of task into a word network of a FSN (finite state network) form. But, recently , some of them requires huge memory, so we introduce an ef ficient memory management method for a large word network; distributed FSN model and hiearchical memory model. The system keeps the word network...

This work proposes to learn linguistically-derived sub-unit classifiers for sign language. The responses of these classifiers can be combined by Markov models, producing efficient sign-level recognition. Tracking is used to create vectors of hand positions per frame as inputs for sub-unit classifiers learnt using AdaBoost. Grid-like classifiers are built around specific elements of the tracking...

This paper describes a new method of evolution that is named Transplant Evolution (TE). None of the individuals of the transplant evolution contains genotype as in Grammatical Evolution (GE). Each individual of the transplant evolution contains the phenotype in the tree structure. Reproduction methods as crossover and mutation work with parts of phenotypes (sub-trees). The hierarchical structur...

All languages use “tone” if what is meant is either pitch or the F0 variations that are unavoidable in spoken language. However, this is not what is generally meant when the term is used by phonologists. Instead, there is a major typological split between those languages that use tone to distinguish morphemes and words vs. those that do not. Found in large numbers of languages in Sub-Saharan Af...