PRANJA.LI: Keyword Density Checker

Total words: 862 | 2-word phrases: 222 | 3-word phrases: 236 | 4-word phrases: 244

PAGE INFO

Title	Try to keep the title under 60 characters (18 characters) Pranjali Basmatkar
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (18 characters) Pranjali Basmatkar

ONE WORD PHRASES 160 Words

#	Keyword	Frequency	Density
1	and	9	5.63%
2	translation	8	5.00%
3	machine	7	4.38%
4	on	7	4.38%
5	of	5	3.13%
6	in	5	3.13%
7	using	5	3.13%
8	neural	5	3.13%
9	basmatkar	4	2.50%
10	for	4	2.50%

TWO WORD PHRASES 222 Words

#	Keyword	Frequency	Density
1	machine translation	5	2.25%
2	neural machine	4	1.80%
3	translation for	3	1.35%
4	conference on	3	1.35%
5	an overview	2	0.90%
6	modeling using	2	0.90%
7	machine learning	2	0.90%
8	overview of	2	0.90%
9	on neural	2	0.90%
10	of contextual	2	0.90%
11	multilingual translation	2	0.90%
12	basmatkar h	2	0.90%
13	using bidirectional	2	0.90%
14	formality controlled	2	0.90%
15	and s	2	0.90%
16	survey on	2	0.90%
17	controlled neural	2	0.90%
18	bidirectional encoder	2	0.90%
19	international conference	2	0.90%
20	proceedings of	2	0.90%

THREE WORD PHRASES 236 Words

#	Keyword	Frequency	Density
1	neural machine translation	4	1.69%
2	machine translation for	3	1.27%
3	on neural machine	2	0.85%
4	bidirectional encoder representations	2	0.85%
5	international conference on	2	0.85%
6	overview of contextual	2	0.85%
7	survey on neural	2	0.85%
8	using bidirectional encoder	2	0.85%
9	an overview of	2	0.85%
10	encoder representations from	2	0.85%
11	bert titlean overview	1	0.42%
12	m 2022 an	1	0.42%
13	for computational linguistics	1	0.42%
14	contextbased topic modeling	1	0.42%
15	topic modeling using	1	0.42%
16	modeling using bert	1	0.42%
17	using bert titlean	1	0.42%
18	titlean overview of	1	0.42%
19	representations from transformers	1	0.42%
20	maurya m 2022	1	0.42%
21	p maurya m	1	0.42%
22	basmatkar p maurya	1	0.42%
23	of contextual topic	1	0.42%
24	association for computational	1	0.42%
25	modelling using bidirectional	1	0.42%
26	transformers basmatkar p	1	0.42%
27	topic modelling using	1	0.42%
28	pranjali basmatkar home	1	0.42%
29	online association for	1	0.42%
30	proceedings of the	1	0.42%

FOUR WORD PHRASES 244 Words

#	Keyword	Frequency	Density
1	neural machine translation for	3	1.23%
2	bidirectional encoder representations from	2	0.82%
3	on neural machine translation	2	0.82%
4	survey on neural machine	2	0.82%
5	using bidirectional encoder representations	2	0.82%
6	an overview of contextual	2	0.82%
7	encoder representations from transformers	1	0.41%
8	topic modeling using bert	1	0.41%
9	p maurya m 2022	1	0.41%
10	pages 321–329 toronto canada	1	0.41%
11	inperson and online association	1	0.41%
12	and online association for	1	0.41%
13	online association for computational	1	0.41%
14	association for computational linguistics	1	0.41%
15	contextbased topic modeling using	1	0.41%
16	modeling using bert titlean	1	0.41%
17	transformers basmatkar p maurya	1	0.41%
18	using bert titlean overview	1	0.41%
19	basmatkar p maurya m	1	0.41%
20	2023 pages 321–329 toronto	1	0.41%
21	titlean overview of contextual	1	0.41%
22	overview of contextual topic	1	0.41%
23	topic modelling using bidirectional	1	0.41%
24	modelling using bidirectional encoder	1	0.41%
25	bert titlean overview of	1	0.41%
26	translation iwslt 2023 pages	1	0.41%
27	iwslt 2023 pages 321–329	1	0.41%
28	lowresource formality controlled nmt	1	0.41%
29	translation titleformality controlled neural	1	0.41%
30	machine translation priyesh vakharia	1	0.41%
31	translation priyesh vakharia shree	1	0.41%
32	priyesh vakharia shree vignesh	1	0.41%
33	vakharia shree vignesh s	1	0.41%
34	shree vignesh s and	1	0.41%
35	vignesh s and pranjali	1	0.41%
36	basmatkar 2023 lowresource formality	1	0.41%
37	2023 lowresource formality controlled	1	0.41%
38	formality controlled nmt using	1	0.41%
39	m 2022 an overview	1	0.41%
40	controlled nmt using pretrained	1	0.41%