By Kemal Oflazer, Turkey) NATO Advanced Study Institute on Language Engineering for Lesser-studied Languages (2000 : Ankara
The topic subject of this booklet falls into the final quarter of typical language processing. specified emphasis is given to languages that, for numerous purposes, haven't been the topic of analysis during this self-discipline. This booklet could be of curiosity to either laptop scientists who wish to construct language processing structures and linguists drawn to studying approximately normal language processing.
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Additional resources for Language Engineering of Lesser-Studied Languages (Nato Science Series, Series III : Computer and Systems Science-Vol 188)
The experiment described in  is a combined tagger model. The evaluation corpus is the LOB corpus. Four different taggers are used: a trigram HMM tagger , a memory-based tagger , a rule-based tagger  and a Maximum Entropy-based tagger . 92% and outscores all the individual tagging systems. 22%) proves that investigation of the decision-making procedure should continue. An almost identical position and similar results are presented in . That experiment is based on the Penn Treebank Wall Street Journal corpus and uses a HMM trigram tagger, a rule-based tagger  and a Maximum Entropy-based tagger .
2 we presented the standardized morpho-lexical encoding recommendations issued by EAGLES and observed in the implementation of Multext-East word-form lexicons. With such a lexicon, lemmatization is most often a look-up procedure, with practically no computational cost. However, one word-form be may be associated with two or more lemmas (this phenomenon is known as homography). Part-of-speech information, provided by the preceding tagging step, is the discriminatory element in most of these cases.
This conceptualization is very convenient in modeling the alignment process as a binary classification problem (good vs. bad pairs of aligned entities). 1. Sentence alignment Good practices in human translation assume that the human translator observes the source text organization and preserves the number and order of chapters, sections and paragraphs. Such an assumption is not unnatural, being imposed by textual cohesion and coherence properties of a narrative text. One could easily argue (for instance in terms of rhetorical structure, illocutionary force, etc) that if the order of paragraphs in a translated text is changed, the newly obtained text is not any more a translation of the original source text.