Coursera: Natural Language Processing

Re: Coursera: Natural Language Processing

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Natural Language Processing (NLP): Due to the growth of the internet and digital libraries, one significant field of NLP application that is relatively new and was not ...

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Natural Language Processing (NLP): Due to the growth of the internet and digital libraries, one significant field of NLP application that is relatively new and was not addressed in earlier ARIST chapters on NLP has gained a lot of attention. In order to fully utilize the internet and digital libraries, as noted by Borgman (1997) and Peters & Picchi (1997), a number of researchers have highlighted the necessity for suitable research in facilitating multi- or cross-lingual information retrieval, including multilingual text processing and multilingual user interface systems.

Many scholars have tried to develop better technologies for carrying out different tasks that are crucial to NLP research. These pieces fall within the following categories:

- Word segmentation, noun phrase formation, lexical and morphological analysis, etc. (Picchi & Ers, 1997). Chen & Chang, 1998; Dogru & Slagle, 1999; Kam-Fai et al., 1998; Kazakov et al., 1998; Lovis et al., 1998; Tolle & Chen, 2000; Zweigenbaum & Grabar, 1999; Bangalore & Joshi, 1999; Barker & Cornacchia, 2000)

- Semantic and discourse analysis, word meaning and knowledge representation (Kehler, 1997; Mihalcea & Moldovan,1999; Meyer & Dale, 1999; Pedersen & Bruce, 1998; Poesio & Vieira,1998; Tsuda & Nakamura, 1999)

- Knowledge-based approaches and tools for NLP (Argamon et al.., 1998; Fernandez &
Garcia-Serrano, 2000; Martinez et al.., 2000, 1998).