Table 21.

The number of 25 most frequent terms up to 2020 overall, with number of occurrences and existences, frequency and presence, in comparison with 2015 (terms marked in green are those which progressed in frequency).

Rank	Term	Variants of all sorts	#Occurrences	Frequency	#Existences	Presence	Occurrences/ existences	Previous Rank	Delta Ranking
1	Dataset	Data-set, data-sets, datasets	240,691	0.00758	24,288	0.28969	9.91	11	10
2	Annotation	Annotations	187,175	0.00589	19,942	0.23786	9.39	4	2
3	SR	ASR, ASRs, Automatic Speech Recognition, Speech Recognition, automatic speech recognition, speech recognition	179,579	0.00566	25,916	0.30911	6.93	2	−1
4	LM	LMs, Language Model, Language Models, language model, language models	164,944	0.00519	19,139	0.22828	8.62	3	−1
5	HMM	HMMs, Hidden Markov Model, Hidden Markov Models, Hidden Markov model, Hidden Markov models, hidden Markov Model, hidden Markov Models, hidden Markov model, hidden Markov models	155,335	0.00489	17,131	0.20433	9.07	1	−4
6	Embedding	Embeddings	145,844	0.00459	11,804	0.14079	12.36	29	23
7	Classifier	Classifiers	143,885	0.00453	18,540	0.22114	7.76	6	−1
8	POS	POSs, Part Of Speech, Part of Speech, Part-Of-Speech, Part-of-Speech, Parts Of Speech, Parts of Speech, Pos, part of speech, part-of-speech, parts of speech, parts-of-speech	135,022	0.00425	18,946	0.22598	7.13	5	−3
9	NP	NPs, noun phrase, noun phrases	111,726	0.00352	12,139	0.14479	9.20	7	−2
10	Parser	parsers	107,678	0.00339	12,071	0.14398	8.92	8	−2
11	Neural network	ANN, ANNs, Artificial Neural Network, Artificial Neural Networks, NN, NNs, Neural Network, Neural Networks, NeuralNet, NeuralNets, neural net, neural nets, neural networks	97,039	0.00306	18,724	0.22333	5.18	17	6
12	Metric	Metrics	95,056	0.00299	20,451	0.24393	4.65	18	6
13	Segmentation	Segmentations	94,888	0.00299	14,033	0.16738	6.76	9	−4
14	SNR	SNRs, Signal Noise Ratio, Signal Noise Ratios, signal noise ratio, signal noise ratios	90,820	0.00286	8,517	0.10159	10.66	10	−4
15	MT	MTs, Machine Translation, Machine Translations, machine translation, machine translations	88,790	0.0028	13,603	0.16225	6.53	15	0
16	Parsing	Parsings	75,189	0.00237	12,551	0.1497	5.99	13	−3
17	DNN	DNNs, Deep Neural Network, Deep Neural Networks, deep neural network, deep neural networks	74,921	0.00236	5,740	0.06846	13.05	63	46
18	GMM	GMMs, Gaussian Mixture Model, Gaussian Mixture Models, Gaussian mixture model, Gaussian mixture models	74,820	0.00236	8,203	0.09784	9.12	14	−4
19	ngram	n-gram, n-grams, ngrams	73,159	0.0023	11,285	0.1346	6.48	21	2
20	Semantic		70,186	0.00221	16,697	0.19915	4.20	12	−8
21	Decoder	Decoders	69,385	0.00219	10,274	0.12254	6.75	71	50
22	WER	WERs, Wer, word error rate, word error rates	69,297	0.00218	8,547	0.10194	8.11	20	−2
23	LSTM		68,445	0.00216	7,090	0.08457	9.65	145	122
24	SVM	SVMs, Support Vector Machine, Support Vector Machines, support vector machine, support vector machines	67,610	0.00213	9,005	0.10741	7.51	19	−5
25	Iteration	Iterations	65,686	0.00207	15,372	0.18335	4.27	16	−9