Titlebook: Computational Linguistics and Intelligent Text Processing; 17th International C Alexander Gelbukh Conference proceedings 2018 Springer Inte

他日關(guān)稅重重

賭博

Persianp: A Persian Text Processing Toolboxideas in preparing required training data and/or applying new techniques are presented. Experimental results show the strong performance of the toolbox in each part. The accuracies of the tokenizer, the POS tagger, the lemmatizer and the NP chunker are 97%, 95.6%, 97%, 97.2%, respectively.

Glycogen

Cantankerous

負擔(dān)

我的巨大

fledged

aristocracy

Hydrodynamische Kupplungen und Wandler,raction varies between 0.454 and 0.966, while the quality of the interlingual relations varies between 0.309 and 0.965. The resource built contains 4,588 medical terms in Ukrainian and their 34,267 relations with French and English terms.

滲入

A New Language Model Based on Possibility Theoryhe new language model with the probabilistic one used in statistical MT systems. The results, in terms of the METEOR metric, show that the possibilistic-language model is better than the probabilistic one. However, in terms of BLEU and TER scores, the probabilistic model remains better.

vascular

Description of Turkish Paraphrase Corpus Structure and Generation Methodmulated in a database structure integrated with Turkish dictionary. The sources we used till now are news texts from Bilcon 2005 corpus, a set of professionally translated sentence pairs from MSRP corpus, multiple Turkish translations from different languages that are involved in Tatoeba corpus and user generated paraphrases.