much attention has recently been paid to natural language processing in information storage and retrieval. this paper describes how the application of natural language processing ( nlp ) techniques can enhance cross-language information retrieval ( clir ). using a semi-experimental technique, we took farsi queries to retrieve relevant documents in english. for translating persian queries, we us...

Abstrak The Malay language is an Austronesian language spoken in most countries in the South East Asia region that includes Malaysia, Indonesia, Singapore, Brunei and Thailand. Traditional linguistics is well developed for Malay but there are very limited resources and tools that are available or made accessible for computer linguistic analysis of Malay language. Assigning part of speech (POS) ...

This paper describes an experiment on tagging Romanian using QTAG, a parts-of-speech tagger that has been developed originally for English, but with a clear separation between the (probabilistic) processing engine and the (language specific)resource data. This way, the tagger is usable across various languages as shown by successful experiments on three quite different languages: English, Swedi...

the aim of this paper is to report on an attempt to design and implement an intelligent system capable of generating the correct part of speech for a given sentence while the sentence is totally new to the system and not stored in any database available to the system. it follows the same steps a normal individual does to provide the correct parts of speech using a natural language processor. it...

The Hong Kong University Cantonese Corpus was collected from transcribed spontaneous speech in conversations and radio programs that involved two to four people. It was wordsegmented, annotated with Cantonese pronunciation, and recently tagged with word classes by adopting the parts-of-speech (POS) scheme of Yu et al. (2002). This scheme, which was designed for tagging written Mandarin texts, e...

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Structured prediction is a supervised machine learning technique that involves predicting structured objects, rather than scalar discrete or real values(which correspond to classifications and regressions)[1]. Structured data is data that consists of several parts, and not only the parts themselves contain information, but also the way in which the parts belong together[2]. Under this definitio...

The connection between part-of-speech (POS) categories and morphological properties is well-documented in linguistics but underutilized in text processing systems. This paper proposes a novel model for morphological segmentation that is driven by this connection. Our model learns that words with common affixes are likely to be in the same syntactic category and uses learned syntactic categories...