By Arvi Tavast (ed.), Kadri Muischnek (ed.), Mare Koit (ed.)
Human language applied sciences proceed to play a huge half within the glossy details society. This publication comprises papers awarded on the 5th overseas convention Human Language applied sciences - The Baltic point of view (Baltic HLT 2012), held in Tartu, Estonia, in October 2012. This publication should be of curiosity to all these whose paintings consists of the use and alertness of computational linguistics and comparable disciplines.
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Extra resources for Human Language Technologies — the Baltic Perspective: Proceedings of the Fifth International Conference Baltic HLT 2012
See evaluation results in Table 4. System #4 with the prefixes separated and the endings deleted has the lowest BLEU score on both evaluation sets. System #2 with the prefixes separated and the time/number feature values performs slightly better. System #1 with separated prefixes and endings performs better than System #2. Only one system exceeds the baseline system ʊ System #3 with prefixes separated and the number feature values and the tense feature values for verbs. Table 4. 6859 3. Large-scale experiment The results obtained using the DGT-TM corpus show that a better MT system can be built by applying different pre-processing methods to training data.
Pried&PRES ir Protokol&PRES yr&PRES ne- atskiriam&PRES ši&PRESPAST Susitar&SGPRES dal&PRES. (3) There is no distinction between verb stems and other stems in transducer. This leads to situation when tense feature values are also assigned to noun stems. Table 1 shows that only two singular forms have a tag SG and only two plural forms have a tag PL. In this example, we can see than for the first paradigm nouns the translation quality might improve only for the dative and locative case forms. Table 1.
Transducer has a full list of verb stems for which the verb endings are allowed. Other endings are allowed to any two or more letter combination which is not in the verb stem list. The verb stems are with a higher weight than other stems. Same as before, a list of non-inflected part of speech words and a list of personal pronouns is used in the transducer. Pried& ir Protokol& yr&PRES ne- atskiriam&SG ši&PRESPAST Susitar&SG dal&PRES. (4) In the transformed sentence (4), the situation has improved, the two first paradigm nouns “priedas” and “protokolas” do not have the tense feature values.
Human Language Technologies — the Baltic Perspective: Proceedings of the Fifth International Conference Baltic HLT 2012 by Arvi Tavast (ed.), Kadri Muischnek (ed.), Mare Koit (ed.)