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<s>as well as the documents. It generates amapping between words and documents. The word vs concept relationship canessentially create noise due to the randomness of word selection. Some dramaticsimplifications are added in LSA in order to solve this problem. The techniquesare as follows:1. As LDA, it uses the “Bag of ... |
<s>compare with. HDP does not need to know the number of topicsapriori like the LDA and this is the reason for which HDP is used for manyapplications of NLP. As far as the LDA is concerned, the number of topics to beextracted from a corpus has to be declared beforehand since the LDA algorithmcan not predict the right n... |
<s>have their limitations too. One major limitationwith the HDP is that it does not consider the relationship among the documents.It calculates the mixture of all the documents and achieves the topics from themixture model. This can be inefficient with a document collection where interdocument relationship is important... |
<s>n is thenumber of documents. Here the columns are document BOW vectors. Whenthe LSI is applied as SVD to the document it only keeps the largest d << m =min(D,n) minimum singular values that is, let U ′D∗d be the first d columns of U ,S ′D∗d be the submatrix of S, V ′N∗d be the first d columns of V . Then the reduced... |
<s>each input carries forward to the next layer and an output at any layeris dependent on the previous layers. The name Recurrent comes from the ideaof performing the same task for every element in a sequence. However, the RNNcan also be considered as a memory saving tool. It is a neural network that canremember the re... |
<s>A typical LSTM [32]Initially LSTM might look like a complicated neural network but as it is explainedstep by step the diagram will start to make sense. For the time being, let us onlyfocus on the input and output of the LSTM unit. Three inputs are taken by thisnetwork. Xt is the input taken for the current time step... |
<s>2.4. The +symbol means the addition operation, σ symbol signifies the Sigmoid function thattakes place inside the GRU. Then the � notation signifies “hadamard product”meaning element wise vector multiplication. The tanh symbol means the tanhfunction which takes place inside the model. The work flow of the GRU is exp... |
<s>adjustment. As a result it does not need the information aboutthe other part of the paragraph. So, it washes out the previous information bysetting the rt value almost close to 0 a.k.a a very low information is passed throughfrom the previous sentences. It can only focus on the last sentence to predict theoverall se... |
<s>models accuracy is also compared to evaluate themodel performance. For the dataset that is used for sentiment analysis it is splitinto training and testing sets. Finally, training and testing loss and accuracy iscompared.Chapter 3Sentiment AnalysisThis chapter includes a sentiment analysis on Bangla language. A mode... |
<s>than the word level model.The accuracy of these models however depends on many other factors includingthe choice of alphabets, size of the dataset, hyperparameter tuning etc. In thiswork 67 characters of Bangla including space and some special characters are used.There are 49 letters in the Bangla language. However,... |
<s>the equations that demonstrate how the hidden state ht is calculatedin GRU. It has two gates, one is the update gate z, another one is the resetgate r. Equation (3.1) and (3.2) show how these two are calculated. The resetgate determines how to combine the new input with the previous memory, and theupdate gate determ... |
<s>not able to predict longersequences. Let assume an example sentence as the following:Sunny works at GoogleThis is a very simple sentence with only one subject. So it can be tagged as Sunny: Subject and Google : Organization. If the model sees any such type of sequenceit can understand the semantic meaning and the de... |
<s>model from overfitting. Figure 3.7 shows the training andtesting accuracy of the character level model and Figure 3.8 shows the comparisonbetween the two models. The most important observation from the experimentsis that the character-level RNN could work for text classification without the needfor word semantic mea... |
<s>Com-parison of the two models across different data is one future goal of this work thatwill make it useable in the industries to extract sentiments from the social mediareviews and comments.Chapter 4Topic ModellingIn this chapter the second contribution of the thesis will be described which istopic modelling. The p... |
<s>into the CSV file, UTF-8 encoding was used. Without UTF-8 en-coding python is not able to understand the characters for further processing. Weremoved all the hyperlinks from the text to make it more readable to the program.In the prepossessing section it will be discussed in detail.Bangla is a popular peotic and a r... |
<s>in, Garbage out”. So is true for this dataset. A detailedprocess for the data cleaning will be discussed in this section. The dataset consistof over 7,000 news collected over a 3 months of time. The whole corpus is en-coded in UTF-8. Tokenization, Stop words removal, Vectorization, Bigram modeldevelopment and removi... |
<s>process of the Bag of Words model there are few sub processes.The first one is to make a dictionary. From NLP perception, a dictionary consistsof the tokenized words in a list with only unique words. Then each documentmaps that dictionary to represent its vectorized version which only has a number.The numbers only r... |
<s>describe the proposed modelin a step by step process. Our main goal from this research is to find a way toextract the topics from the corpus. In this chapter a methodology is also proposedto find out the right topic a news belong to. This way each news can be classifiedin their right category. The proposed model is ... |
<s>An example of a topic is as follows:Topic 1 : Trump, U.S.A, Immigration, Immigrants, H1BTopic 2: Traffic, Accident, Car, Death, DebrisAs can be seen from these two topic examples, they both contain some wordsor better known as terms from the corpus. However,the words are correlated andcollectively they can be interp... |
<s>probabilities are then multiplied together and that is the probability of thisassignment of the topic to the term. At each run all the terms are then assigneda topic. In the next iteration the probabilities are updated with better topic-termassignments that is more coherent. At some point the model converges with no... |
<s>is also performed. 10 and 20 topics are experi-mented at the beginning level before experimenting with 200 topics.1 2 3 4 5 6 7 8 9Number of topics0.100.150.200.250.30Figure 4.8: Coherence based number of topics (t=10)From these experiments it is seen that none of these reach the coherence valuearound 0.45 which was... |
<s>0.018*“Ahead” + 0.017*“traffic” + 0.017*“Air” +0.014*“Crashed” + 0.014*“landing” + 0.012*“control” +0.012*“death”)City or govern-ment(18, 0.040*“Mayor” + 0.038*“personal” + 0.026*“Dhaka” +0.018*“league” + 0.016*“team” + 0.016*“Government” +0.015*“Project” + 0.015*“Editorial” + 0.014*“city mayor” +0.013*“National”)En... |
<s>0.019*“chairman” + 0.018*“Syria” +0.016*“Islamic” + 0.015*“regarding”)Stock Market (44, 0.037*“price” + 0.024*“NewYork” + 0.024*“rapid”+ 0.024*“Share market” + 0.021*“share price” +0.017*“loan issue” + 0.016*“affected” + 0.014*“type”+ 0.013*“category” + 0.013*“news”)Continuation of Table 4.4Tag Extracted TopicMedia ... |
<s>to understand the dissimilarities. However, when it comes tocalculate cosine similarity for similar documents, LSI performs better. The sameis true for similarity score for doc1, doc2 pair and doc5, doc6 pair. These two pairof documents are closely related in terms of their topics and LSI is capturing therelevance b... |
<s>LSI, HDP, LDA standalone, LDA modified and LDA incombination with LSI. In this section we will illustrate the algorithm performancealong with the topics from the different algorithms.LSI HDP LDA LDA_Mod LDA_LSIModels0.00.10.20.30.40.50.60.70.8Figure 4.11: Model performance comparisonAs we can see from the graph, we ... |
<s>a new technique that is known as LDA iterativeapproach. In this experiment, we take the LDA model and optimize it with thecorrect number of topics according to our corpus through the topic optimizationexperiment described in the earlier section in this chapter. Once we have theoptimized number of topics then we feed... |
<s>topic for this news outper-forming the other topics in terms of their probability score. Now we will take alook at how this topic looks like with the English translation:(35, ‘0.026*“Cinema” + 0.020*“Premier” + 0.020*“Director” +0.019*“Announce” + 0.017*“Ending” + 0.016*“Actress” + 0.015*“Next movie”+ 0.015*“Release... |
<s>industry applications.The first contribution of this thesis is the sentiment analysis with the Bangla lan-guage and the results are better than the existing models. The second contributionof the thesis is the first ever topic modelling with Bangla for news classificationusing the LDA algorithm. Topic modelling has a... |
<s>appliedalthough LDA algorithm can extract the word to word semantic relationship forwhich it is not necessary for topic modelling. Bigram is used for this thesis. Inthe future trigrams and other n-grams can also be applied to see the effect on theresults.The other contribution of the thesis is the sentiment analysis... |
<s>onElectrical Engineering and Information Communication Technology (ICEE-ICT), pages 1–4. IEEE, 2016.[11] Xiang Zhang, Junbo Zhao, and Yann LeCun. Character-level convolutionalnetworks for text classification. In proc. of Advances in neural informationprocessing systems, pages 649–657. Curran Associates, Inc., 2015.[... |
<s>Dzmitry Bahdanau, and YoshuaBengio. On the properties of neural machine translation: Encoder-decoderapproaches. arXiv preprint arXiv:1409.1259, 2014.[34] Jesse Weaver and Paul Tarjan. Facebook linked data via the graph api.Semantic Web, 4(issue 3):245–250, 2013.[35] Boris Kovalerchuk. Interactive visual classificati... |
<s>Identifying and Categorizing Opinions Expressed in Bangla Sentences using Deep Learning TechniqueSee discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/340678545Identifying and Categorizing Opinions Expressed in Bangla Sentences usingDeep Learning TechniqueArtic... |
<s>to know individual journalists and columnist's opinions and public opinion on an issue like sports, business and trade, international, national and some other important issues. It is hard to analyze the opinions and feelings of huge news content manually. Sentiment Analysis focuses on determining whether a piece of ... |
<s>from the above four, International Journal of Computer Applications (0975 – 8887) Volume 176 – No. 17, April 2020 we like to label them as neutral ( ). So comments or data are labeled using five classes after collected. Various statistical and linguistic techniques have been developed for Sentiment analysis. All the... |
<s>Naive Bayes (NB) algorithms are compared for text classification where SVM outperforms. S. Z. Mishu and S. M. Rafiuddin‟s Paper [10] compare text classification performance on different supervised ML models where back-propagation based Neural Network has the best performance. 3. DATASET To start a Sentiment Analysis... |
<s>(Wf . [ ht-1, xt ] + bf) (1) it = σ (Wi . [ ht-1, xt ] + bi) (2) = tanh(Wc . [ht-1, xt] + bc) (3) Ct = ft * Ct-1 + it * (4) ot = σ (Wo . [ht-1, xt] + bo) (5) ht = ot * tanh(Ct) (6) Figure 3. Basic LSTM cell 5. RESULTS & ANALYSIS Deep learning models are applied to the dataset. Scikit-learn3 train-test split API has ... |
<s>0.7557 0.7598 0.7530 LSTM 0.7117 0.7093 0.7168 DNN 0.6867 0.6862 0.7048 The confusion matrix calculated for the CNN model implemented considering two classes is given in figure 7. Figure 7. Confusion matrix for CNN (2 classes) Accuracy of all the models for both 5 and 2 classes experiments are given in figure 8. Fig... |
<s>on Bangla Language Processing, BRAC University, Dhaka, Bangladesh. [5] Nabi, M. M., Altaf, M. T., and Ismail, S. 2016. Detecting Sentiment from Bangla Text using Machine Learning Technique and Feature Analysis International Journal of Computer Applications (0975 – 8887) Volume 153 – No 11. [6] Ghosal, T., Das, S. K.... |
<s>Employing Machine Learning techniques on Sentiment Analysis of Google Play Store Bangla Reviews2019 22nd International Conference on Computer and Information Technology (ICCIT),18-20 December 2019Employing Machine Learning techniques onSentiment Analysis of Google Play Store BanglaReviewsMd Muhtasim Jawad Soumikdept... |
<s>shortage of data and itcan be a great way to improve the applications. SentimentAnalysis using Machine learning has already yielded very978-1-7281-5842-6/19/$31.00 ©2019 IEEEpromising results in user review based scenarios such as:IMDb (Internet Movie Database), Amazon store reviewand so on but despite of being a ve... |
<s>used toidentify the hyphened reduplications. They designed thesystem in two phases where the first phase identified fivecases of reduplications (complete, partial, onomatopoeic,correlative and semantic) and the second phase attemptedto extract the associate sense [6].III. Data DescriptionGoogle Play store represents... |
<s>method is chosen for it2Stop word - https://github.com/stopwords-iso/stopwords-bnbeing the most popular approach. TF-IDF has tackledthe issue of the most frequent words of being undesirablewith respect to algorithm implementation by assigningless weight such as the word "অ াপ" which is found mostfrequently in play s... |
<s>the first model, then the next which makescombining the predictions to provide better result useless.Such situation can be handled by boosting. This is alsoa sequential process where each subsequent model at-tempts to correct the errors in the previous model. Adap-tive boosting, Gradient Boosting and extreme Gradien... |
<s>small. This ideaswhich are yet to be explored are as follows:• Gathering more and more data to build up a trustwor-thy and experimentally proven data which to be madefree for public so the research programs regarding thisfield can take a step forward• Artificial Neural Network(ANN) is a very popular ma-chine learnin... |
<s>Sentiment Analysis Using Out of Core Learning2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 7-9 February, 2019Sentiment Analysis Using Out of Core LearningMahmudul Hasan, Ishrak Islam, K. M. Azharul HasanDepartment of Computer Science and EngineeringKhulna University of E... |
<s>and feedback about the products. Hencesentiment analysis has become a new business strategy in thisera. Again another thing essential for developing an artificiallyintelligent agent that it should rely upon the human opinionto make decisions [4], [5] The main application of sentimentclassification are in the broad a... |
<s>is a strat-egy to expel fastens from a word, winding up with the stem.By far, there are four established stemmers: PorterStemmer,RegexpStemmer, SnowballStemmer, LancasterStemmer [1].We have utilized PorterStemmer for execution of assessmentmining.Like Stemming, Lemmatization does the same work. It ismainly used to f... |
<s>to vector implementation2) Hashing Vectorizer: When there is a massive amountof data, it is hard to vectorize the whole data. So in thiscase instead of TF-IDF hashing vectorizer is used. In the caseof hashing vectorizer, it does not consider inverse documentfrequency. Instead, it just hashes each term frequency in s... |
<s>class dN = total documentsti = weighting factor ti=1t = total weighting factor in class dα = smoothing parameter4) Passive Aggressive Classifier: Passive Aggressive Clas-sifier is one of the best classifiers for online learning [21]. Ifthe model correctly classifies the data, then it is kept, but if itgives the wron... |
<s>Using Mean 0.88 0.86 0.90 0.88Acc. = Accuracy, Pr. = Precision, Rc. = RecallVenkataraman et al. in article [11] used deep learning frame-work for English language text classification. However, theyhave not given any analysis report using a machine learningapproach. The authors of [12], [15] used only Naive Bayestech... |
<s>Bangla Speech and LanguageProcessing (ICBSLP), pages 1–5. IEEE, 2018.[11] A. Venkataraman. Deep learning algorithms based text classifier. In 20162nd International Conference on Applied and Theoretical Computingand Communication Technology (iCATccT), pages 220–224, July 2016.[12] L. Jin, W. Gong, W. Fu, and H. Wu. A... |
<s>Paper Title (use style: paper title)See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/313925459Supervised Approach of Sentimentality Extraction from Bengali FacebookStatusConference Paper · December 2016DOI: 10.1109/ICCITECHN.2016.7860228CITATIONSREADS4014 ... |
<s>native to Bangladesh and the Indian state of West Bangla. Bangla is the national language in Bangladesh and second most spoken language in India. With about 250 million native and about 300 million total speakers are worldwide. It is the seventh most spoken language in the world by total number of native speakers an... |
<s>Domain Two most popular and common social networking sites are Facebook and Twitter. Generally, in South Asia Facebook is more popular and common than Twitter. People from South Asia used Facebook to Ads their local product, services. Many followers provide product feedback by comments or status at many Facebook Gro... |
<s>status:- Detect simple sentence with one adjective. Find etc ” valance shifting word placed at the right side of a simple sentence. Remove the valance shifting word. Replace the adjective with its antonym [10]. TABLE-IV. Applying Normalization Before Normalization After Normalization F. Unigram and Bigram Th... |
<s>We wish to express our profound sense of gratitude to our supervisor Assistant Professor Md. Saiful Islam for introducing us to this research topic and providing his valuable guidance and unfailing encouragement throughout the course of the work. Thanks SUST-NLP Research members for helping us to collect data. We co... |
<s>”FeatureRich art-of-Speech agging with a Cyclic Dependency etwork.” In roceedings of AAC, pp. 252-259 [16] Bengali Search Engine Pipilika, Available at: http://www.pipilika.com/ View publication statsView publication statshttps://www.researchgate.net/publication/313925459</s> |
<s>Ishara-Lipi: The First Complete MultipurposeOpen Access Dataset of Isolated Characters for Bangla Sign LanguageSee discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/329396096Ishara-Lipi: The First Complete MultipurposeOpen Access Dataset of IsolatedCharacters f... |
<s>for disabled persons.Ishara Bhasay Jogajog a book of Bangla Sign Language wasprinted by CDD in 2005 and reprinted in 2015 for learningbasic gesture of BdSL. According to CDD standard BanglaSign Language, there are 36 isolated characters and 10 digitsin Bangla Sign Language.In Bangladesh there is no open access compl... |
<s>languageits not. In Bangla Sign Language there has only 36 charactersat all. So we kept 36 characters by naming with numericconvention from 1 to 36 (1, 2, 3...9). The naming conventionof all characters are given below in a chart.C. Cropping imagesThe captured image cannot be used without cropping for anycharacter re... |
<s>ReLU (1) activation.Followed by a 5 x 5 max-pooling layer. Then used 25%dropout to reduce overfitting.ReLu(x) = Max(0, x) (1)For convolution 3 and 4, the filter is 64, kernel size is (3x3),Stride is (1x1), same padding with ReLU activation. Followed978-1-5386-8207-4/18/$31.00 2018 IEEEInternational Conference on Ban... |
<s>recognition.As working in data science here data is the most major factfor working and making effective model. So increasing thedataset size will be the future work for this project. As it isan open source project anyone can contribute us voluntarily.REFERENCES[1] Athitsos, Vassilis, et al. ”The american sign langua... |
<s>4-FCS-17253-MAR.dviFront. Comput. Sci., 2020, 14(3): 143302https://doi.org/10.1007/s11704-018-7253-3Bangla language modeling algorithm for automatic recognitionof hand-sign-spelled Bangla sign languageMuhammad Aminur RAHAMAN , Mahmood JASIM, Md. Haider ALI,Md. HASANUZZAMANDepartment of Computer Science and Engineeri... |
<s>as shown in Fig. 1(a) and Fig. 1(b))two-handed Bangla sign alphabet from 51 Bangla written al-phabet based on pronunciation, and 10 basic numerals (0 to9) as shown in Fig. 1(c). But, most of this word and sentencelevel signs are gestures. In BdSL, about 5,000 set of ges-tures [6] are used to express sign words and s... |
<s>et al. Bangla language modeling algorithm (BLMA) 3Fig. 2 Architecture of the proposed system, (a) block diagram and (b) details view4 Front. Comput. Sci., 2020, 14(3): 143302automatic recognition of hand-sign-spelled words, compos-ite numerals and sentences for large lexicon in BdSL with notraining, only based on th... |
<s>the convolutional layers of their deep learning model.Zhu et al. [40] used pyramidal 3d convolutional networksfor large-scale isolated gesture recognition using RGB depthdata. Wang et al. [41] used depth data of 2D networks forgesture recognition including dynamic depth image, dynamicdepth normal image and dynamic d... |
<s>section, we describe the first phase of the proposedsystem in which the system classifies the hand-signs of indi-vidual characters in BdSL. Figure 2 presents the architectureof the proposed system. Although the first phase is alreadyimplemented in our previous systems [7, 8, 27], we have im-proved only the classifie... |
<s>combined feature vector ξ ji = [Γ ji ,Ωi ]for a single sign is [KΓ + MΩ] = [50 + 25] = 75. Hencethe size of ξ ji = [Γ ji ,Ωi ] for a single sign class, i will be[50 + 25] × 100 × 1 = 7500 where, j=100 and i=1. The re-sulted size of the combined feature vector ξ ji for 52 hand-signs is [KΓ +MΩ]× J × i = [50+ 25]× 100... |
<s>system sends the selected different KΩ most signclasses (i1, i2, . . . , iKΩ) into the 2nd step classifier. The 2ndstep classifier selects one of the sign classes among the KΩmost sign classes (i1, i2, . . . , iKΩ) based on maximum ICCbetween pre-trainedΩ ji and test Ω using Eq. (6).ICCΩ_ max =⎛⎜⎜⎜⎜⎜⎝ ICCΩ(η)|Ω ji |... |
<s>the Bangla sentences are made withoutverb such as “ ” /aAmAr nAm rhmAn/ or“ ”/aANggUr Tk/. Most of the cases, Bangla“verb” is placed in the last part of the sentences. Use of dif-ferent punctuation marks is another complex issue. For thisreason, the implementation of BLMA is more challenging butmost essential.In thi... |
<s>the syntax of a Bangla sentenceis defined by κpunctuation . . . κpunctuation or κspace . . . κpunctuation.Punctuation (κpunctuation) may be ‘|’/./, ‘,’/,/(comma),‘;’/;/(semicolon), ‘!’/!/(Exclamation mark), ‘?’/?/(Ques-tion Mark) etc. [52]. In this paper, we have consider onlytwo punctuation marks ‘|’./(Full stop) a... |
<s>κlink) /iy/78 if (κi == /s/ AND Rule == RS H 8 /SHh/if (κi == /s/ AND TempWord ∈ { /pUr/, /BhhA/, /tIr/} AND Xm+1(κi) == κlink AND Xm+2(κi) ∈{ /k/, /Khh/, /p/, /Phh/})/s/10 if (κi == /s/ AND Xm−1(κi) ∈ ct5) /Shh/11 if (κi == /N/ AND Rule == RN 9 /N/12 if (κi == /N/ AND Rule � RN) /n/13 if (κi == /J/ AND Xm−2(κi) ∈ {... |
<s>. .Mark) from a single sign S6 for simplicity. If a sentence con-tains any Question Word (QWord) presented in Table 5 thenthe sentence is treated as interrogative and the κpunctuation isset to ‘?’/?/(Question Mark); otherwise κpunctuation is set to‘|’/./(Full stop). A single word may represent a sentence inBangla la... |
<s>otherpersons are moving behind the signer.The second phase of the proposed system is tested using500 video clips of 500 hand-sign-spelled words, 100 videoclips of 100 hand-sign-spelled composite numerals and 80video clips of 80 hand-sign-spelled sentences in BdSL fromthe 10 signers. Each video clip contains 10 of ea... |
<s>” are distinguishable but the binary hand-signs of themare very similar to each other as shown in Fig. 8. In severalenvironments, the performances may decrease due to wrongperforming of the hand-signs in front of fixed camera. In par-ticular, performing the hand-signs “ ”, “ ”, “ ” and “ ” ismost difficult in front ... |
<s>38.987/5/ 100 99 99 99 97 97 98.5 39.895/6/ 99 99 99 98 97 97 98.17 39.887/7/ 99 98 99 98 96 95 97.5 40.128/8/ 99 99 98 98 97 95 97.67 40.654/9/ 98 97 98 96 96 95 96.67 41.354S1 98 97 96 95 95 94 95.83 38.447S2 98 98 96 96 95 94 96.17 38.456S3 97 97 96 96 96 95 96.17 39.734S4 97 97 96 96 95 95 96 40.231S5 98 98 97 9... |
<s>(denoted by “HSSCS”); Jasim et al. [4]using Haar like feature based cascaded classifier and KNN14 Front. Comput. Sci., 2020, 14(3): 143302Fig. 8 Similarity of binary hand-signs “ ” with “ ”. (a) Distinguishable skin color images of “ ” and “ ”; (b) indistinguishable binary handpostures of “ ” and “ ”Fig. 9 Performan... |
<s>100 100/iy/ /iLKy/ 100 100JC Char1+LK+Char2 100 100/Ng/ /ng/ 100 100/j/ /J/ 100 96/j/ /J/ 100 100/Tt/ /t/ 100 100/n/ /N/ 100 95/Shh/ /s/ 100 95/SHH/ /s/ 100 98/RHh/ /Rhh/ 100 100?/?/ |/./ 100 100In the experiment, we have recorded (10 × 1) = 10 videoclip observations from 10 signers on each hand-sign-spelledBdSL (wo... |
<s>proposed system can classify hand-signsand recognize hand-sign-spelled words and/or sentences indynamic backgrounds where other persons are moving be-hind (as shown in Fig. 11(b)).5 ConclusionThis paper presents a Bangla language modeling algorithmfor automatic recognition of hand-sign-spelled Bangla signlanguage th... |
<s>However the system sometimes failsto distinguish properly two similar binary signs such as “ ”and “ ” in which the color images of them are distinguish-able but the binary images of them are very similar as shownin Fig. 8. The system may fail to segment the hand-signs,if any skin-color objects with similar motion of... |
<s>2012, 21(4): 125001715. Mills M, Psarologou A, Bourbakis N. Modeling natural language sen-tences into SPN graphs. In: Proceedings of the 25th IEEE InternationalConference on Tools with Artificial Intelligence. 2013, 889–89616. Santoni D, Pourabbas E. Automatic detection of words associations intexts based on joint d... |
<s>Hasib Q R, Hossain M, Rahman R M. Fuzzyrule-based hand gesture recognition for bengali characters. In: Pro-ceedings of the IEEE International Advance Computing Conference.2014, 484–48935. Wang, Qiao Y, Tang X. Action recognition with trajectorypooled deep-convolutional descriptors. In: Proceedings of the IEEE Confer... |
<s>Dhaka, Bangladesh: Centerfor Disability in Development (CDD), 200256. Sourceforge.net. EmguCV. See Sourceforge Website, 201557. Nagarajan S, Subashini T S. Static hand gesture recognition for signlanguage alphabets using edge oriented histogram and multi classSVM. International Journal of Computer Applications, 2013... |
<s>/ColorImageMinResolutionPolicy /OK /DownsampleColorImages true /ColorImageDownsampleType /Bicubic /ColorImageResolution 300 /ColorImageDepth -1 /ColorImageMinDownsampleDepth 1 /ColorImageDownsampleThreshold 1.50000 /EncodeColorImages true /ColorImageFilter /DCTEncode /AutoFilterColorImages true /ColorImageAutoFilter... |
<s>A Potent Model to Recognize Bangla Sign Language Digits Using Convolutional Neural NetworkScienceDirectAvailable online at www.sciencedirect.com8th International Conference on Advances in Computing and Communication (ICACC-2018)Procedia Computer Science 143 (2018) 611–6181877-0509 © 2018 The Authors. Published by El... |
<s>the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)Selection and peer-review under responsibility of the scientific committee of the 8th International Conference on Advances in Computing andCommunication (ICACC-2018).Available online at www.sciencedirect.comProcedia Computer Science 00 (2018... |
<s>huge amount of research has beendone in the field of recognizing Sign Language using different techniques like Hidden Markov Models, skeletondetection, Principal Component analysis (PCA) etc. [3] [4] [5]. Other great techniques involve fulfill the motionhistory report associated with gestures, motion capturing glove... |
<s>some preprocessing works.Fig. 2. Eshara-Lipi dataset samples.3.2. Data PreprocessingThe Eshara-Lipi dataset provides 128 x 128 pixels gray scale images. Some preprocessing works were done formaking it usable to train model. Firstly all images were resized by 28 x 28 pixel size. The images were converted intogray sca... |
<s>is a much faster technique. It usuallyperforms single update at a single time.The cross-entropy is a better choice for cost function optimization. It is known as cross-entropy cost function; alsocalled regularization method. For making better classification and prediction in neural network this function is usedwidel... |
<s>use ourdataset and the model as a platform. However, everyone cant understand sign language, in future we will changeconversation to sign for pleasant communication between different users. In Future we will reach our database &recognize more characters, even to recognize gesture of the Bangla Sign Language and to c... |
<s>A Simple and Mighty Arrowhead Detection Technique of Bangla Sign Language Characters with CNNSee discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/334562271A Simple and Mighty Arrowhead Detection Technique of Bangla SignLanguage Characters with CNNChapter · Jul... |
<s>There are various signlanguage for example American, Arabic, French, Spanish, Chinese, and Indianetc.In Bangladesh where around 2.4 million people use Bengali Sign Language.But normal people are not accustomed with their sign. For effective communi-cation speech and hearing impaired people and normal people must hav... |
<s>networks identificationto translate the sign language and introduce the Point of Interest (POI) andtrajectory idea delivers originality and cuts the storage memory condition inReal-time Sign Language Recognition based on Neural Network Architecturepaper [10].Pigou(B) et al. contribute a recognition system using the ... |
<s>(3× 3), Stride is (1× 1), “same” padding with ReLU (1)activation. Followed 20, 60 filter size and 3, 5, 7 kernel size in other conv layers.Then used 25% dropout to reduce overfitting.ReLu(x) = Max(0, x) (1)For convolution 3, 4 and 5, the filter is 20, kernel size is (3× 3), (5× 5) and(7× 7), Stride is (1× 1), “same”... |
<s>of automatically recognize sign language could have a great impressionon the lives of hearing impaired people. This will help them in their daily lifecommunication.In this paper, we represented a convolutional neural network (CNN) approachfor a classification algorithm of Bangla Sign Language. The CNN have fourconvo... |
<s>Hefei,China (2015)10. Mekala, P., Gao, Y., Fan, J., Davari, A.: Real-time sign language recognition basedon neural network architecture. IEEE Conference, April 201111. Pigou, L., Dieleman, S., Kindermans, P.-J., Schrauwen, B.: Sign language recogni-tion using convolutional neural networks. In: Agapito, L., Bronstein... |
<s>See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/335359908A Modern Approach for Sign Language Interpretation Using ConvolutionalNeural NetworkChapter · August 2019DOI: 10.1007/978-3-030-29894-4_35CITATIONSREADS2436 authors, including:Some of the authors of... |
<s>this problem, as well as mod-els which leverage transfer learning. One of our custom models achieved a testaccuracy of 86.52%, which is better than the current best published result.2 Related WorksIn 2013 Pugeault and Bowden [18] proposed an interactive keyboard-less graph-ical user interface that can detect hand sh... |
<s>a total of131,670 number of images where 65,774 images have RGB channels and restare depth images that contain the intensity values in the image which representthe distance of the object or simply depth from a viewpoint. The reason behindchoosing American Sign Language (ASL) for this work was that ASL is widelylearn... |
<s>strided convolution [27] was used to reduce the sizeof the output feature maps instead of the more commonly used pooling tech-niques. Surprisingly, for this model, our tests showed better performance usingthe RelU activation function (an investigation looking into the discrepancy iscurrently under progress and will ... |
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