Extracting Bilingual Persian Italian Lexicon from Comparable Corpora Using Different Types of Seed Dictionaries
Table 2: The effect of different dictionaries in combination with different methods on SpeCorpus for advanced combination
['Dictionary Name', 'Top-1 Simple', 'Top-1 Advanced', 'Top-10 Simple', 'Top-10 Advanced']
In this section, we evaluate our ideas of combining different dictionaries together. As described before, two different types of combination are used in our experiments. The simple combination creates a dictionary using a simple priority rule and the advanced combination for all dictionaries considering all translations of any word. According to this table, the best results for Top-1 measure belong to the simple combination model when all dictionaries are combined together. The best Top-10 results belong to the advanced combination model combining all dictionaries. In advanced combination, all words in all dictionaries are selected in the lexicon generation phase, and this generally gives us better Top-10 results. An important issue for our advanced combination is that all translations in different dictionaries have the same weight and this may decrease the effect of DicEx. Although it is our most accurate dictionary, it is also the smallest one. This problem is tackled in the next section by using our weighting lemma.