The ENGTWOL morphological analyser is a 55,000 entry Koskenniemi-style morphological description of English that assigns all recognised input word forms with all possible morphological readings as a disjunctive list. Those words not recognised by the ENGTWOL analyser are analysed by a heuristic module; part-ofspeech readings are assigned on the basis of the form of the word (endings etc.). The ...

Tamil is a morphologically rich language with agglutinative nature. Being agglutinative language most of the word features are postpositionally affixed to the root word. The morphological generator takes lemma, POS category and morpho-lexical description as input and gives a word-form as output. It is a reverse process of morphological analyzer. In any natural language generation system, morpho...

Morphological Analysis is an important branch of linguistics for any Natural Language Processing Technology. Morphology studies the word structure and formation of word of a language. In current scenario of NLP research, morphological analysis techniques have become more popular day by day. For processing any language, morphology of the word should be first analyzed. Assamese language contains ...

Word embeddings allow natural language processing systems to share statistical information across related words. These embeddings are typically based on distributional statistics, making it difficult for them to generalize to rare or unseen words. We propose to improve word embeddings by incorporating morphological information, capturing shared sub-word features. Unlike previous work that const...

This paper describes an approach how to integrate the decomposition of non-lexicalized word compounds and derivations into the morphological analyzers of a NLP product line. The component employs word formation rules and filtering techniques to decompose words, which are not contained in the underlying dictionary database, thereby increasing the average word recognition rate of the morphologica...

This study set out to examine the effects of a morpheme-based training on reading and spelling in fifth and sixth graders (N = 47), who present poor literacy skills and speak German as a second language. A computerized training, consisting of a visual lexical decision task (comprising 2,880 items, presented in 12 sessions), was designed to encourage fast morphological analysis in word processin...

This paper describes an approach how to integrate the decomposition of non-lexicalized word compounds and derivations into the morphological analyzers of a company's NLP product line. The component employs word formation rules and filtering techniques to decompose words, which are not contained in the underlying dictionary database, thereby increasing the average word recognition rate of the mo...

Polish named entities are mostly out-of-vocabulary words, i.e. they are not described in morphological lexicons, and their proper analysis by Polish morphological analysers is difficult. The existing approaches to guessing unknown word lemmas and descriptions do not provide results on satisfactory level. Moreover, lemmatisation of multiword named entities cannot be solved by word-by-word lemmat...