Titlebook: Human Language Technology. Challenges for Computer Science and Linguistics; 9th Language and Tec Zygmunt Vetulani,Patrick Paroubek,Marek Ku

作嘔

Analogies Between Short Sentences: A Semantico-Formal Approachand semantic analogies between words. The method is applied on sentences from the Tatoeba corpus. Two datasets of more than five thousand semantico-formal analogies, in English and French, are released.

壓迫

https://doi.org/10.1007/978-3-031-05328-3artificial intelligence; computational linguistics; computer systems; computer vision; data mining; image

沉積物

Hybridised Deep Ensemble Learning for Tone Pattern Recognition visualisation revealed similar patterns for features: V and S, and C and P; but features B and E, however, showed weak correlation. Next, four cluster vectors discovered by SOM were fed into a 4-DNN ensemble for training and validation. The neuron weights and target vectors obtained from the DNN th

Blanch

Analysis and Processing of the Uzbek Language on the Multi-language Modelled Computer Translator Tecchnology MMCT consists seven stages. The logical-linguistic models of the Uzbek language is described as one of the seven stages. The models are described using an extensible input language. Validation over the nouns of the Uzbek language was carried out and the truth of one variant of the logical-l

強(qiáng)有力

Outwit

amnesia

Design and Development of Pipeline of Preprocessing Tools for Kazakh Language Textstools for generation and lemmatization of the word forms of the Kazakh language were created. The proposed tools can be applied at the stage of morphological analysis in the systems of automatic analysis of the texts, in the creation of thesauruses and ontologies. For the case of the presence of hom

Lyme-disease

Speech Prosody Extraction for Ibibio Emotions Analysis and Classificationo, there appear to be consistency for word and syllable units – as both genders show same duration correlate patterns. For F0 and intensity features, our findings agree with the literature, as high activation effects tend to produce higher F0 and intensity values, compared to low activation effects,

Harbor

Construction and?Evaluation of?Sentiment Datasets for?Low-Resource Languages: The Case of?Uzbekhe manually annotated test set is a convolutional neural network with 88.89% accuracy, and on the translated set, a logistic regression with 89.56% accuracy); with the accuracy of the deep learning models being limited by the quality of available pre-trained word embeddings.

煉油廠