The 20 words of maximal string length found in the Top-1.000 words ordered by rank
| Local Rank | Rank in Wordlist | Word | Length |
|---|---|---|---|
| 1 | 94 | বাংলাদেশের | 10 |
| 2 | 218 | প্রধানমন্ত্রী | 13 |
| 3 | 219 | প্রেসিডেন্ট | 11 |
| 4 | 251 | আন্তর্জাতিক | 11 |
| 5 | 274 | বৃহস্পতিবার | 11 |
| 6 | 330 | চেয়ারম্যান | 10 |
| 7 | 424 | বিশ্ববিদ্যালয়ের | 15 |
| 8 | 470 | নির্বাচনের | 10 |
| 9 | 497 | পাকিস্তানের | 11 |
| 10 | 532 | গুরুত্বপূর্ণ | 12 |
| 11 | 579 | যুক্তরাষ্ট্রের | 14 |
| 12 | 672 | প্রতিষ্ঠান | 10 |
| 13 | 673 | ফেব্রুয়ারি | 10 |
| 14 | 746 | বিশ্ববিদ্যালয় | 13 |
| 15 | 791 | প্রধানমন্ত্রীর | 14 |
| 16 | 813 | সাংবাদিকদের | 11 |
| 17 | 822 | মুসলমানদের | 10 |
| 18 | 936 | প্রতিষ্ঠানের | 12 |
| 19 | 940 | মন্ত্রণালয়ের | 12 |
| 20 | 966 | শিক্ষার্থীদের | 13 |
The most frequent 1000 words contain a many stopwords and the most frequent content words. Assuming that stopwords are usually short, the list presented here shows some important content words.
This list can be ordered not only by word length (as in this subsection), but also by rank or alphabetically. This will be done in the next subsections.
The content words in the table give a first impression of the main subject areas in a corpus.
In the case of very poor pre-processing, some non-words may appear in the list. But there will be much finer tests for poor pre-processing below.
The list above can be generated from a relatively small corpus. If we have a small corpus which is representative for a larger one, the corresponding results should not differ very much. Hence, the list could be generated quickly generated from a small randomly chosen subcorpus.
SELECT @num:=@num+1 as local_rank, w_id-100 as rank_in_wordlist,word,char_length(word) as len from (select @num:=0) xx, words where w_id>100 and w_id<=1100 order by len desc limit 50;
Longest Words in Top-1000 by rank
Longest Words in Top-1000 alphabetically