In this paper, we describe a cross-morpheme pronunciation variation model which is especially useful for constructing morpheme-based pronunciation lexicon for Korean LVCSR. There are a lot of pronunciation variations occurring at morpheme boundaries in continuous speech. Since phonemic context together with morphological category and morpheme boundary information affect Korean pronunciation var...

Communication could be oral and written. These forms of communication may formal or informal depending on the setting, people involved, age class. Codeswitching is an form communication. It used most at times in However, recent times, its has been extensively written This raised issues as to whether can also a possible platform for study investigates codeswitching public signage by Kiswahili –E...

Morpheme analysis is very important for Uyghur language processing. Morpheme analysis of Uyghur is quite different from other language, for this task the keys include feature selection and the design of a morpheme annotated corpus . In this paper we propose a new statistical-based Uyghur morpheme analysis method by using Conditional Random Fields (CRFs) model. The preliminary experiment results...

This paper describes a system for unsupervised morpheme analysis and the results it obtained at Morpho Challenge 2007. The system takes a plain list of words as input and returns a list of labelled morphemic segments for each word. Morphemic segments are obtained by an unsupervised learning process which can directly be applied to different natural languages. Results obtained at competition 1 (...

In this paper, we describe a pronunciation lexicon model which is especially useful for constructing morpheme-based pronunciation lexicon to improve the performance of a Korean LVCSR. There are a lot of pronunciation variations occurring at morpheme boundaries in continuous speech. For modeling of cross-morpheme pronunciation variations, we usually used a context-dependent multiple pronunciatio...

Prefixes of the Setswana verb • The subject agreement morphemes, written disjunctively, include non-consecutive subject agreement morphemes and consecutive subject agreement morphemes. For example, the non-consecutive subject agreement morpheme for class 5 is le as in lekau le a tshega (the young man is laughing), while the consecutive subject agreement morpheme for class 5 is la as in lekau la...

N-gram language modeling is essential in natural language processing and speech processing. In morphologically rich languages such as Korean, a word usually consists of at least one lemma (content morpheme) and functional morphemes which represent various grammatical. Most word forms in Korean, however, have problems of sparse data and zero probability, because of quite complex morpheme combina...

in this research, it has been tried to survey certain persian sentences and based on the linguists' ideas the existence of the number phrase in definition phrase in the persian language is demonstrated. then it has been attempted to show that the position of the plural morpheme in persian, quite similar to the other languages, is the core of the number phrase. along with surveying the feat...

Morpho Challenge 2007 contained an evaluation of unsupervised morpheme analysis algorithms using information retrieval experiments utilizing data available in CLEF. The objective of the challenge was to design statistical machine learning algorithms that discover which morphemes (smallest individually meaningful units of language) words consist of. Ideally, these are basic vocabulary units suit...