The Morphemes of the Manipuri word are the real bottleneck for any of the Manipuri Natural Language Processing (NLP) works. It is one of the Indian Scheduled Language with less advancement so far in terms of NLP applications. This is because the nature of the language is highly agglutinative. Segmentation of a word and identifying the morphemes becomes necessary before proceeding for any of the...

The words of language contain a nontrivial amount of linguistic information, such as what the word means, how it may be used in a sentence, and how it is to be spoken and written. In this article, we consider the computational problem of learning the linguistic structure of a novel word, as well as that of learning the \overall" morpho-phonology of a language. Our main result is that the comput...

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 article introduces a novel approach to model phonology and morphosyntax in morpheme unit based speech recognizers. The proposed method is evaluated in our recent Hungarian large vocabulary continuous speech recognition (LVCSR) system. The architecture of the recognition system is based on the weighted finite state transducer (WFST) paradigm. The task domain is the recognition of fluently r...

In this study, we investigated automatic translation from English to Chinese and subsequent morphological decomposition of translated Chinese compounds. In two lexical decision tasks, Chinese-English bilinguals responded to English target words that were preceded by masked unrelated primes presented for 59 ms. Unbeknownst to participants, the Chinese translations of the words in each critical p...

This is third year of participation from Indian School of Mines Dhanbad at FIRE. At FIRE-2013, we have participated in Morpheme Extraction Task (MET).In MET,we submitted a morpheme extraction tool which takes input a single file of documents in any language and produces a twocolumn file listing words in the language and their corresponding stemmed root words.

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