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A. Van den Bosch, A. Content, W. Daelemans, and B. De Gelder. Measuring the complexity of writing systems. Journal of Quantitative Linguistics, 1(3), 1995.

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Strategies for Representing Tone in African Writing Systems: A.. - Bird (1998)   (1 citation)  (Correct)

....and their meanings. This is known as a deep orthography. Standard written Hebrew, for example, has a deep orthography. The omission of vowels emphasises the morphologically based consonantal invariance in a given family of word roots (Katz Frost 1992:150) Orthographic depth can be quantified (Van den Bosch et al. 1994), but our present interest in the dimension is only qualitative. The depth of the orthography of a language is not an arbitrary choice. Shallow orthographies are characteristic of languages in which morphemic relatives have consistent pronunciations (Katz Frost 1992:150) In Serbo Croation, ....

Van den Bosch, A.., Content, A.., Daelemans, W.., & Gelder, B. De. (1994). Measuring the complexity of writing systems. Journal of Quantitative Linguistics, 1, 178--88.


Rapid Development of NLP Modules with Memory-Based.. - Daelemans, van den.. (1998)   (7 citations)  Self-citation (Van den bosch Daelemans)   (Correct)

....classification subtasks. In this section we illustrate some examples of recent work on MBLE on three light NLP tasks: i) text to speech conversion in TREETALK, ii) part of speech tagging in MBT, and (iii) phrase chunking in MBC. 3.1. TREETALK: Text to speech conversion The TREETALK system [26, 25, 11, 24] has originally been designed for isolated word pronunciation, i.e. converting a written word to its phonemic representation as found in a pronunciation dictionary, and efforts are underway to extend it to modeling speech phenomena in texts, such as sentence accents and prosody. In this ....

A. Van den Bosch, A. Content, W. Daelemans, and B. De Gelder. Measuring the complexity of writing systems. Journal of Quantitative Linguistics, 1(3), 1995.


Scaling Effects with Greedy and Lazy Machine-Learning .. - van den Bosch.. (1995)   Self-citation (Van den bosch)   (Correct)

....is lazy in the sense that it does not care about model size restrictions. This laziness may result in very large trees when the problem to be learned is complex. Nevertheless, for the problem under consideration (i.e. hyphenation) and for some problems to which IG Tree was applied previously [VCDD95], learning and classification is very fast compared to that of BP and CBP. Furthermore, IG Tree s generalisation performance on grapheme phoneme conversion was shown to be better than that of BP [VD93] 3 Experimental Settings The problem which we have adopted for our experiments is English ....

A. van den Bosch, A. Content, W. Daelemans, and B. de Gelder. Measuring the complexity of writing systems. Journal of Quantitative Linguistics, 1(3), 1995.

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