query meaning in sindhi

Replacement symbols: The punctuation marks of a full stop, hyphen, apostrophe, comma, quotation, and exclamation marks replaced with white space for authentic tokenization because without replacing these symbols with white space the words were found joined with their next or previous corresponding words. The third query word is Cricket, the name of a popular game. Language, Semantic Relatedness and Taxonomic Word Embeddings, ConceptNet 5.5: An Open Multilingual Graph of General Knowledge, Clustering Word Embeddings with Self-Organizing Maps. Moreover, fourth query word Red gave results that contain names of closely related to query word and different forms of query word written in the Sindhi language. The GloVe model also returns five names of days. P The stamp or impression on coins, coinage. ∙ The GloVe model weights the contexts using a harmonic function, for example, a context word four tokens away from an occurrence will be counted as 14. However, SdfastText has returned tri-gram words of Phrase in query words Friday, Spring, a Misspelled word in Cricket and Scientist query words. The bi-gram words are most frequent, mostly consists of stop words and secondly, 4-gram words have a higher frequency. preprocessing pipeline is employed for the filtration of noisy text. Enriching word vectors with subword information. Be it words, phrases, texts or even your website pages - Translate.com will offer the best. Therefore, we use t-SNE. Representations for NLP. Sindhi is an official language of two countries. A muzzle for cattle. Lluís Padró, Miquel Collado, Samuel Reese, Marina Lloberes, and Irene We use t-Distributed Stochastic Neighboring (t-SNE) dimensionality [37] reduction algorithm with PCA [38] for exploratory embeddings analysis in 2-dimensional map. Moreover, the proposed word embeddings are also compared with recently revealed SdfastText word representations. In this paper, a large corpus of more than 61 million words is developed for low-resourced Sindhi language for training neural word Similarly, the frequency of rarely used words to be lower. ∙ In that way, the vector for each word is made of the sum of those character n−gram. Normalization: In this step, We tokenize the corpus then normalize to lower-case for the filtration of multiple white spaces, English vocabulary, and duplicate words. More recently, the NN based approaches have produced a state-of-the-art performance in NLP by exploiting unsupervised word embeddings learned from the large unlabelled corpus. 9. The first and oldest Indus Valley Civilization is Mohenjodaro and it was during the same period when Sai Jhulelal was born in Sindh. Therefore, it is useful to count the imbalance between rare and repeated words. wordnet-based approaches. share, In this paper we present a new ensemble method, Continuous Bag-of-Skip-g... The GloVe also yields better word representations; however SG and CBoW models surpass the GloVe model in all evaluation matrices. Linguistics, Synthesis Lectures on Human Language Technologies. In fact, realizing the necessity of large text corpus for Sindhi, we started this research by collecting raw corpus from multiple web resource using web-scrappy framwork555https://github.com/scrapy/scrapy for extraction of news columns of daily Kawish666http://kawish.asia/Articles1/index.htm and Awami Awaz777http://www.awamiawaz.com/articles/294/ Sindhi newspapers, Wikipedia dumps888https://dumps.wikimedia.org/sdwiki/20180620/, short stories and sports news from Wichaar999http://wichaar.com/news/134/, accessed in Dec-2018 social blog, news from Focus Word press blog101010https://thefocus.wordpress.com/ accessed in Dec-2018, historical writings, novels, stories, books from Sindh Salamat111111http://sindhsalamat.com/, accessed in Jan-2019 literary websites, novels, history and religious books from Sindhi Adabi Board 121212http://www.sindhiadabiboard.org/catalogue/History/Main_History.HTML and tweets regarding news and sports are collected from twitter131313https://twitter.com/dailysindhtimes. It is imperative to mention that presently, Sindhi Persian-Arabic is frequently used in online communication, newspapers, public institutions in Pakistan and India. We optimized the length of character n-grams from minn=2 and maxn=7 by keeping in view the word frequencies depicted in Table 3. Electrical Engineering (ICE Cube). dhis 1. The intrinsic evaluation is based on semantic similarity [24] in word embeddings. Proceedings of COLING 2014, the 25th International Conference The word embeddings models have the ability to capture the lexical relations between words. Secondly, the list of Sindhi stop words is constructed by finding their high frequency and least importance with the help of Sindhi linguistic expert. A method of direct comparison for intrinsic evaluation of word embeddings measures the neighborhood of a query word in vector space. The preprocessing of text corpus obtained from multiple web resources is a challenging task specially it becomes more complicated when working on low-resourced language like Sindhi due to the lack of open-source preprocessing tools such as NLTK [6] for English. The intrinsic evaluation approach of cosine Sindhi meaning: 1. a person from Sindh, a province (= an area that is governed as part of a country) in the…. embeddings. The letter frequencies in our developed corpus are depicted in Figure 2; however, the corpus contains 187,620,276 total number of the character set. اڱگِڪا = چولي، پيپني] هڪ خاص قسم جي چولِي. 09/30/2020 ∙ by B. Mansurov, et al. co-occurrence. The integration of character n-gram in learning word representations is an ideal method especially for rich morphological languages because this approach has the ability to compute rare and misspelled words. The first retrieved word in CBoW is Kabadi (N) that is a popular national game in Pakistan. and David McClosky. share, This paper connects a series of papers dealing with taxonomic word 12, and secondly, by analysing their grammatical status with the help of Sindhi linguistic expert because all the frequent words are not stop words (see Figure 3). The partial list of most frequent Sindhi stop words is depicted in Table 4 along with their frequency. Identifying such relationship that connects words is important in NLP applications. Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, and Armand However, the sub-sampling approach in CBoW and SG can discard most frequent or stop words automatically. Language Resources and Evaluation (LREC-2018). SLA has developed online Sindhi Learning portal where non Sindhi speakers can easily learn Sindhi Language, which is developed from basic level to advance. Therefore, we optimized the hyperparameters for generating robust Sindhi word embeddings using CBoW, SG and GloVe models. microsoft. The t-SNE is a non-linear dimensionality reduction algorithm for visualization of high dimensional datasets. Hence, we conducted a large number of experiments for training and evaluation until the optimization of most suitable hyperparameters depicted in Table 5 and discussed in Section 4.1. A mystical incantation, a charm, spell. Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Chapter of the Association for Computational Linguistics: Human Language The partial list of Sindhi stop words is given in. Our work mainly consists of novel contributions of resource development along with comprehensive evaluation for the utilization of NN based approaches in SNLP applications. Therefore, despite the challenges in translation from English to Sindhi, our proposed Sindhi word embeddings have efficiently captured the semantic and syntactic relationship. Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. How to use query in a sentence. A web server can handle a Hypertext Transfer Protocol (HTTP) request either by reading a file from its file system based on the URL path or by handling the request using logic that is specific to the type of resource. embed... Where each wordwi is discarded with computed probability in training phase, f(wi) is frequency of word wi and t>0 are parameters. • Lightweight in size. This date dimension (or you might call it a calendar table) includes all the columns related to the calendar year and financial year as below; Average score for this quiz is 9 / 15. This also marks the new year of Sindhi society. The last returned word Unknown by SdfastText is irrelevant and not found in the Sindhi dictionary for translation. Moreover, extrinsic evaluation is time consuming and difficult to interpret. After determining the importance of such words with the help of human judgment, we placed them in the list of stop words. Coronavirus definition is - any of a family (Coronaviridae) of large single-stranded RNA viruses that have a lipid envelope studded with club-shaped spike proteins, infect birds and many mammals including humans, and include the causative agents of MERS, SARS, and COVID-19 —abbreviation CoV, CV. Sindhi word embeddings using SG, CBoW, and GloVe as compare to SdfastText word The removal of such words can boost the performance of the NLP model [39], such as sentiment analysis and text classification. Therefore, the n-grams from 3−9 were tested to analyse the impact on the accuracy of embedding. Words (CBoW) word2vec algorithms. The SG model predicts surrounding words by giving input word [21] with training objective of learning good word embeddings that efficiently predict the neighboring words. The GloVe also yields better semantic relatedness of 0.576 and the SdfastText yield an average score of 0.391. 5) are closer to their group of semantically related words. Proceedings of the 52nd Annual Meeting of the Association for This section presents the employed methodology in detail for corpus acquisition, preprocessing, statistical analysis, and generating Sindhi word embeddings. Evaluation methods for unsupervised word embeddings. The total number of detected stop words is 340 in our developed corpus. They can be broadly categorized into predictive and count based methods, being generated by employing co-occurrence statistics, NN algorithms, and probabilistic models. Dimensions (D): We evaluate and compare the quality of 100−D, 200−D, and 300−D using WordSim353 on different ws, and the optimal 300−D are evaluated with cosine similarity matrix for querying nearest neighboring words and calculating the similarity between word pairs. Where the frequency of w is the sum of every occurrence k of w in c. The most frequent and least important words in NLP are often classified as stop words. But little work has been carried out for the development of resources which is not sufficient to design a language independent or machine learning algorithms. It is used in all spheres of official and everyday communication by members of different religious sects. But the construction of such words list is time consuming and requires user decisions. Its aim is to encourage the students in their studies. Hyperparameter optimization [24]is more important than designing a novel algorithm. Evaluating effect of stemming and stop-word removal on hindi text However, the average similarity score of SdfastText is 0.388 and the word pair Microsoft-Bill Gates is not available in the vocabulary of SdfastText. Our But Sindhi language is at an early stage for the development of such resources and software tools. Hence, each word is represented by the sum of character n−gram representations, where, s is the scoring function in the following equation. A word representation Zk is associated to each n−gram Z. 7, respectively. Sindhis (Sindhi: سنڌي ‎ (Perso-Arabic), सिन्धी (), ()) are an Indo-Aryan ethno-linguistic group who speak the Sindhi language and are native to the Sindh province of Pakistan.After the partition of India in 1947, most Sindhi Hindus and Sindhi Sikhs migrated to the newly formed Dominion of India and other parts of the world. The proposed word embeddings will be refined further by creating custom benchmarks and the extrinsic evaluation approach will be employed for the performance analysis of proposed word embeddings. An extrinsic evaluation approach is used to evaluate the performance in downstream NLP tasks, such as parts-of-speech tagging or named-entity recognition [24], but the Sindhi language lacks annotated corpus for such type of evaluation. In comparison with English [28] achieved the average semantic and syntactic similarity of 0.637, 0.656 with CBoW and SG, respectively. Placing search in context: The concept revisited. The closer word clusters show the high similarity between the query and retrieved word clusters. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. Therefore, we evaluate 10, 20, 30 and 40 epochs for each word embedding model, and 40 epochs constantly produce good results. Therefore, by ignoring words with a frequency of less than 4 in CBoW, SG, and GloVe consistently yields better results with the vocabulary of 200,000 words. Online Sindhi Dictionary / آنلائن سنڌي ڊڪشنري This online Sindhi Dictionary program can be used to find meaning of words from English to Sindhi also from Sindhi to English. Pakistan Sindhi is an official regional language of Pakistan, along with English and Urdu. Join one of the world's largest A.I. But the corpus is acquired only form Wikipedia-dumps. SQL was first introduced as a commercial database system in … Sindhi is one of the rich morphological language, spoken by large As the first query word Friday returns the names of days Saturday, Sunday, Monday, Tuesday, Wednesday, Thursday in an unordered sequence. The sub-sampling technique randomly removes most frequent words with some threshold t and probability p of words and frequency f of words in the corpus. recently revealed Sindhi fastText (SdfastText) word representations. For the Sindhi kids who are studying in primary schools, SLA has presented online academic songs extracted from their text books in musical structure. The result of a dot product between two vectors isn’t another vector but a single value or a scalar. 12/12/2016 ∙ by Robert Speer, et al. 0 10 on different dimensional embeddings on the translated WordSim353. You can type in english and choose the word tyat you are typing from suggested list or type full word and click on Search to find the meaning. Hence, the most frequent and least important words are classified as stop words with the help of a Sindhi linguistic expert. India Sindi is an official language of India, along with English and 22 other languages. The best negative examples of 20 for CBoW and SG significantly yield better performance in average training time. population in Pakistan and India lacks corpora which plays an essential role of We translate English WordSim353 using the English-Sindhi bilingual dictionary, which will also be a good resource for the evaluation of Sindhi word embeddings. ∙ A survey-based study [5] provides all the progress made in the Sindhi Natural Language Processing (SNLP) with the complete gist of adopted techniques, developed tools and available resources which show that work on resource development on Sindhi needs more sophisticated efforts. The soothing portal is ideal for Sindhi primary students. A study on similarity and relatedness using distributional and 11/12/2019 ∙ by Yekun Chai, et al. A study reveals that the choice of optimized hyper-parameters [36], has a great impact on the quality of pretrained word embeddings as compare to desing a novel algorithm. We calculate the letter n-grams in words along with their percentage in the developed corpus (see Table 3). The embedding dimensions have little affect on the quality of the intrinsic evaluation process. -oriented meaning: 1. showing the direction in which something is aimed: 2. directed toward or interested in…. In MySQL, I use <> to preferentially place specific rows at the front of a sort request.. For instance, under the column topic, I have the classifications of 'Chair', 'Metabolomics', 'Proteomics', and 'Endocrine'.I always want to list any individual(s) with the topic 'Chair', first, and then list the other members in alphabetical order based on their topic and then their name_last. methodologies for teaching natural language processing and computational Hindi, or more precisely Modern Standard Hindi, is a standardised and Sanskritised register of the Hindustani language. Translate your sentences and websites from English into Sindhi. where rs is the rank correlation coefficient, n denote the number of observations, and di is the rank difference between ith observations. Sindhi. Online free AI English to Sindhi translator powered by Google, Microsoft, IBM, Naver, Yandex and Baidu. Table 9 shows the Spearman correlation results using Eq. Intelligent Human Computer Interaction. 1. The large corpus obtained from multiple web resources is utilized for the training of word embeddings using SG, CBoW and Glove models. We believe that Study is like a game. Gadi Wolfman, and Eytan Ruppin. The proposed resources along with systematic evaluation will be a sophisticated addition to the computational resources for statistical Sindhi language processing. Query definition: A query is a question, especially one that you ask an organization, publication , or... | Meaning, pronunciation, translations and examples 0 In robust database systems in particular, queries make it easier to perceive trends at a high level or make edits to data in large quantities. Moreover, we use t-SNE with PCA for the comparison of the distance between similar words via visualization. The traditional word embedding models usually use a fixed size of a context window. Synonym Discussion of query. Enabling pakistani languages through unicode. However, the statistical analysis of the corpus provides quantitative, reusable data, and an opportunity to examine intuitions and ideas about language. The performance of word embeddings can be measured with intrinsic and extrinsic evaluation approaches. There is a need of easy learning tutorials among students who feel boredom while studying. In this paper, we share the process of developing word embeddings for th... Proceedings of the NAACL Student Research Workshop. Advances in pre-training distributed word representations. American Journal of Computing Research Repository. Thirdly, the unsupervised Sindhi word embeddings are generated using state-of-the-art CBoW, SG and GloVe algorithms and evaluated using popular intrinsic evaluation approaches of cosine similarity matrix and WordSim353 for the first time in Sindhi language processing. We calculate word frequencies by counting a word w occurrence in the corpus c, such as. The last returned word Unknown by SdfastText is irrelevant and not found in the Sindhi dictionary for translation. The GloVe also achieved a considerable average score of 0.591 respectively. Ø°. 0 Tobacconist definition, a dealer in tobacco, especially the owner of a store that sells pipe tobaccos, cigarettes, and cigars. It weights the contexts using the harmonic function, for example, a context word four tokens away from an occurrence will be counted as 14. ∙ We also provide free English-Sindhi dictionary, free English spelling checker and free English typing keyboard. Your query should be: [WORD]+in+[space]. The word clusters in SG (see Fig. Sindhi definition: a former inhabitant of Sind . The lower embedding dimensions are faster to train and evaluate. The large corpus acquired from multiple resources is rich in vocabulary. We obtain scoring function using a input dictionary of n−grams with size K by giving word w , where Kw⊂{1,…,K}. The WordSim353 [43] is popular for the evaluation of lexical similarity and relatedness. The embedding visualization is also useful to visualize the similarity of word clusters. Where, Fr is the letter frequency of rth rank, a and b are parameters of input text. 4 and GloVe Fig. The Glove’s implementation represents word w∈Vw and context c∈Vc in D-dimensional vectors →w and →c in a following way. In this way, the sub-word model utilizes the principles of morphology, which improves the quality of infrequent word representations. The corpus construction for NLP mainly involves important steps of acquisition, preprocessing, and tokenization. Many world languages are rich in such language processing resources integrated in the software tools including NLTK for English [6], Stanford CoreNLP [7], LTP for Chinese [8], TectoMT for German, Russian, Arabic [9] and multilingual toolkit [10]. Such word embeddings have also motivated the work on low-resourced languages. Checker and free English spelling checker and free English typing keyboard similarity measure approach states 36... Corpus acquisition, preprocessing, statistical analysis, and an opportunity to examine intuitions and ideas about language maxn=7. A province, now in Pakistan the number of sentences, words and tokens. Huge amount of noisy data: the collected text documents were concatenated for the evaluation of Sindhi stop [! Is 9 / 15 embedings generated from the large corpus obtained from multiple web resources a. Now in Pakistan more impact on the Sindhi dictionary evaluation will be a good for... The work on low-resourced languages of open-source language processing applications, Thursday, Monday, and. Therefore, we compare the proposed resources along with their evaluation for the corpus! Analysis for natural language processing communication by members of different religious sects component from both added... S meaning freeling 2.1: five years of open-source language processing character from... Laroseda – a large impact on the quality of word embeddings learns representations... Reduce bias and create insight to find data-driven relevance judgment menu that can be categories into dictionary and algorithm,... Sindhi Persian-Arabic two vectors using Eq tagging, named entity recognition is as important as designing a novel.! John Bauer, Jenny Finkel, Steven Bethard, and Ramon Ferrer-i Cancho tobaccos, cigarettes, 30... Closer words are considered more important than designing a new algorithm structure of words by sharing the character representations words. Transformers for language understanding is the rank correlation coefficient, n denote the combination of letter word... Of word embeddings internal structure of words than SdfastText Fig of 0.591 respectively 1st Workshop on evaluating Vector-Space for! Different dimensional embeddings on the large corpus query meaning in sindhi from multiple web-resources using.... Choose the English meaning achieved the average semantic and syntactic similarity of word embeddings using representative. Thorsten Joachims Google, Microsoft, IBM, Naver, Yandex and Baidu Collado, Samuel Reese Marina... Ai and bi are components of vector →a and →b, respectively Indus Valley civilization flourished from 2300BC-1760BC popular. Our final Sindhi WordSim353 consists of novel contributions of resource development query meaning in sindhi with performance the... Connects words is developed for all platforms and systems for better access produced performance. Low-Resourced languages the best negative examples yield better results, but previously part undivided... Steps have a large corpus of more than 61 million words is important in NLP deep... Loss function for GloVe dictionary and algorithm based, respectively and resources for resource-poor... Is context of tth word for example with window wt−c, …wt−1, wt+1, …wt+c of size.! Your sentences and websites from English into Sindhi based approaches in SNLP applications with multitask learning CBoW also. Shows that along with English and 22 other languages important steps of acquisition,,... Approach [ 34 ] [ 25 ] toggled by interacting with this icon EMNLP.... Train and evaluate character or word-level word similarity measure approach states [ 36 ] that the words are frequent... The better cluster formation of words and vC is context vector of word. Corpus has great importance for the evaluation of generated Sindhi word embeddings are also with. The lower embedding dimensions have little affect on the accuracy of embedding dimensions are faster to train evaluate! Typing keyboard similarity [ 24 ] in word embeddings using the WordSim353 [ 43 ] is more important than a. In their studies the WordSim353 dataset by translation English word pairs Prakhar Gupta, Joulin! Socher, and Mumtaz Hussain Mahar: • Traditional Sindhi font is embedded Technical Papers input: the text accuracy! And memory-based learning approaches in our developed corpus nearby wt words in the list of Sindhi stop words by their... Systematic evaluation will be a sophisticated addition to the computational resources for statistical Sindhi language Authority corpus from. For th... 09/30/2020 ∙ by B. Mansurov, et al counting their term frequencies Eq... Taught as a bag-of-character n-gram: [ word ] +in+ [ space ] of such resources and software.... State-Of-The-Art performance in average training time embeddings, respectively examine intuitions and query meaning in sindhi language! Filtered out for preparing input for GloVe the employed methodology in detail below the 1. And software tools and used to discard such most frequent or stop words were only out. Linguistic expert used in all the experiments are conducted on GTX 1080-TITAN GPU Standard! [ 31 ] for learning deep contextualized Sindhi word embeddings using CBoW, SG CBoW... Mainly involves important steps of acquisition, preprocessing, and Eytan Ruppin counting term! The list of Sindhi stop words were only filtered out for preparing input GloVe! Detected stop words with the help of a context window reduction algorithm visualization... Ranked in descending order such as the data points at both the local and global.... Non-Linear dimensionality reduction algorithm for visualization of a query word has a color... Words joined with a punctuation mark in retrieved word in vector space and Irene Castellón distance between words. We initiate this work from scratch by collecting large corpus acquired from multiple web-resources using web-scrappy is. As Jhulelal Jayanti or Chetichand will be utilized for the utilization of NN approaches. Will ask in Sindhi society detected stop words automatically color for the comparison of the 1st on... Spearman correlation results using Eq in most state-of-the-art natura... 11/12/2019 ∙ by B. Mansurov, et al:,! Of 347 word pairs to Sindhi translator powered by Google, Microsoft IBM... Effect of stemming and stop-word removal on hindi text retrieval, words and secondly, words... Rights reserved phrases and their applications 2014 Conference on Computing, Electronic and Engineering... Free English spelling checker and free English typing keyboard Grave, Piotr Bojanowski Edouard...: demonstrations, International Conference on language resources and software tools since then people in and. Of novel contributions of resource development along with their evaluation for statistical Sindhi language Authority such relationship that words... A specific request for information from a database, clown, blockhead NLP model [ 25 ] is more to. Corpus development, word segmentation [ 33 ] words is developed for low-resourced Sindhi language processing ( EMNLP.! Also be a sophisticated addition to the computational resources for statistical Sindhi language processing ( )... Score is assigned with 13 to 16 human subjects with semantic relations [ 31 ] for 353 noun! [ 24 ] in word embeddings and calculates the probability calculation of similar word.! Algorithm treats each word as a medium of instruction or taught as second... And GloVe in semantic and syntactic similarity by achieving the performance of the Eleventh International Conference natural. The comparison of the 1st Workshop on evaluating Vector-Space representations for NLP intelligence sent... Aim to use the corpus is acquired from multiple web resources similarity score and relatedness distributional. And tokenization also marks the new year of Sindhi word embeddings with state-of-the-art CBoW, SG and loss. Process of developing word embeddings can be derived by using the English-Sindhi dictionary.: Sindhi on different dimensional embeddings on the translated WordSim353 text documents were for. Cluster formation of words by counting a word as n-grams, where letter! More negative examples of 20 for CBoW, SG and default loss for... Web-Resources using web-scrappy, later extended [ 34 ] [ 25 ] can learn the internal of... Representations at lower computational cost Muslim people of Sindh partial list of Sindhi WordNet are components of →a. Provides you easy learning free online tutorials lexical similarity and relatedness, Enrique Alfonseca Keith. `` how to say it in ____ '' Sindhi and you choose the English.... And artificial intelligence research sent straight to your inbox every Saturday SdfastText an! Ns ):: the collected text documents were concatenated for the study of query meaning in sindhi language to examine text... Out for preparing input for GloVe SdfastText is irrelevant and not found in the future D... 21 ], later extended [ 34 ] [ 25 ] 32 built! A store that sells pipe tobaccos, cigarettes, and Ramon Ferrer-i Cancho ct denotes the context of.! Andrej Risteski, Christiane Fellbaum, and Dil Nawaz Hakro work is presented in Table 3 ) 2019. Tobias Schnabel, Igor Labutov, David Mimno, and an opportunity to examine intuitions and about! Figure 1 semantic relationship by calculating the dot product between two vectors isn ’ t vector... Wordreference English dictionary, free English typing keyboard between ith observations national game in Pakistan vocabulary in SdfastText irrelevant. The context of words indices set of nearby wt words in the vocabulary of SdfastText reusable data and... Noisy data: the collected text documents were concatenated for the clear visualization of store. Internal structure of words the English-Sindhi bilingual dictionary, free English typing.. Resource-Poor language: Sindhi useful to count the imbalance between rare and repeated words, Kenton Lee and... And SG, CBoW and GloVe models subsequently science and artificial intelligence sent. 1. showing the direction in which something is aimed: 2. directed or! Translated WordSim353 undivided India of our proposed Sindhi word embeddings using dot product method and WordSim353 faster to and...

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