LMW Candidate Post-Processes - Results

The performance results of previous tagged LMW candidate files are dervired from the following processes:

• File: ${MULTIWORDS}/data/Candidates/DataLog/${YEAR}/${YYYY}_${MM}_${DD}/prevCand.lmw.rpt.
• Program: ${MULTIWORDS}/bin/00.CandidateList
• SetUp
  • Lexicon (must use the latest Lexicon and inflVars)
  • Not-Base/LMW files (in LexCheck is updated).
  • A candidate list is completed (to calculate performance)

The results shown below is a snapshot on the completion of the latest candidate list and is based on the above file report, results might be slightly different over the time due to the updates on Lexicon (when valid words become invalid words and vise versa).

• 1.LexiconAbbAcrExpansion
  • candidates derived from the expansion of abbreviations/acronyms in Lexicon release
  • includes both valid and invalid words
  • After 2020+, this candidate list is generated in the preprocess (${MULTIWORD}/12.LexAbbAcrCand/)

  Year	Acronym Expansions			Abbreviation Expansions
  	Total	Valid	Invalid	Total	Valid	Invalid
  2015	908	881 (97.03%)	27 (2.97%)	62	40 (64.52%)	22 (35.48%)
  2016	59	59 (100.00%)	0 (0.00%)	183	180 (98.36%)	3 (1.64%)
  2017	39	39 (100.00%)	0 (0.00%)	22	19 (86.36%)	3 (13.64%)
  2018	17	16 (94.12%)	1 (5.88)	28	26 (92.86%)	2 (7.14%)
  2019	151	142 (94.04%)	9 (5.96%)	13	12 (92.31%)	1 (7.69%)
  Year	Total		Valid		Invalid
  2020	148		112 (75.68%)		36 (24.32%)
  2021	158		129 (81.65%)		29 (18.35%)
  2022	94		53 (56.38%)		41 (43.62%)
  2023	2		2 (100.00%)		0 (0.00%)
  2024	2		1 (50.00%)		1 (50.00%)
  2025	7		3 (42.86%)		4 (57.14%)
  Accu.	Total: 1816		Valid: 1640 (90.31%)		Invalid: 176 (9.69%)

  
  * Some of the terms might be duplicated among years

• 2.MNSMatcherParAcr
  • candidates derived from the (ACR) matcher in MNS (07.MatcherParAcr)
  • includes both valid and invalid words
  • Dir: ${MULTIWORDS}/data/${YEAR}/outData/07.MatcherParAcr/1.GenLmwCandidates/CandList/
  • File:
    • acronymExp.tag.data.tag.final.tbd.${YEAR}.used.rmYesNo
      candidate only, not include AUTO_N (used for stats)
    • acronymExp.tag.data.tag.final.tbd.${YEAR}.used.rmYesTagNo
      include AUTO_N (sent to Linguists)

    Year	Total	Valid	Invalid	Notes
    2015	4994	3681(73.71%)	1313 (26.29%)
    2016	360	200 (55.56%)	160 (44.44%)
    2017	1855	1319 (71.11%)	536 (28.89%)	Completed: 2018-11-15
    2018	808	604 (74.75%)	204 (25.25%)	AUTO_N is not included (see details below) Completed: 2019-01-03
    2019	1081	664 (61.42%)	417 (38.58%)	AUTO_N is not included (see details below) Completed: 2019-10-16
    2020	1061	787 (74.18%)	274 (25.82%)	AUTO_N is not included (see details below) Completed: 2020-08-18
    2021	1262	489 (38.75%)	773 (61.25%)	AUTO_N is not included (see details below) Completed: 2025-04-02
    Accu.	11078	7552 (68.17%)	3526 (31.83%)

    
    * Some of the terms might be duplicated among years

  • acronymExp.tag.data.tag.final.tbd.${YEAR}.rmYesTagNo include AUTO_N
    => AUTO_N: monitor and calculate AUTO_N becomes valid LMWs. This featuer is to show the consistency of tagging.

    Year	Total	Valid	Invalid	Notes
    2018	557	39 (7.00%)	518 (93.00%)	7.00% became valid
    2019	2533	236 (9.32%)	2297 (90.68%)	9.32% became valid
    2020	2771	58 (2.09%)	2713 (97.91%)	2.09% became valid consistent: small percentage.
    2021	2984	18 (0.60%)	2966 (99.40%)	0.60% became valid consistent: small percentage.

• 3.DMNSMatcherCuiEndWord
  • candidates derived from the CUI and Endword matchers in DMNS
  • includes both valid and invalid words
  • Use the precision from last file (> 80%) and number of current file (36....rmYesNo: ~1000) to decide number of top endWords
  • Dir: ${MULTIWORDS}/data/${YEAR}/outData/09.MatcherCui/Meta/Cand_List/
  • File:
    • 36.disNGram.Core.endword.out.rmYesNo.gsp.${YEAR}.top{N}
      candidate only, not include AUTO_N (used for stats)
    • 36.disNGram.Core.endword.out.rmYesTagNo.gsp.${YEAR}.top{N}
      include AUTO_N (sent to Linguists)

    Year	Total	Valid	Invalid	Notes
    2016	6370	5725 (89.87%)	645 (10.13%)	top 33 endwords
    2017	1945	1764 (90.69%)	181 (9.31%)	Top 43 endwords AUTO_N is not included (detailed below) Completed: 2019-05-20
    2018	819	703 (85.84%)	116 (14.16%)	Top 51 endwords AUTO_N is not included (detailed below) Completed: 2019-08-02
    2019	2918	2588 (88.69%)	330 (11.31%)	Top 57 endwords AUTO_N is not included (detailed below) Completed: 2020-06-12
    2020	2846	2490 (87.49%)	356 (12.51%)	Top 80 endwords AUTO_N is not included (detailed below) Completed: 2021-03-01
    Accu.	14898	13270 (89.07%)	1628 (10.93%)

    
    * Some of the terms might be duplicated among years

  • 36.disNGram.Core.endword.out.rmYesTagNo.gsp.${YEAR}
    => AUTO_N: monitor and calculate AUTO_N becomes valid LMWs

    Year	Total	Valid	Invalid	Notes
    2017	1034	393 (38.01%)	641 (61.99%)	38.01% become valid Main reason is some candidates were not tagged
    2018	953	133 (13.96%)	820 (86.04%)	13.96% become valid Clean up
    2019	984	50 (5.08%)	934 (94.92%)	5.08% become valid consistent: small percentage
    2020	1291	24 (1.86%)	1267 (98.14%)	1.86% become valid consistent: small percentage

• 4.DMNSMatcherSpVarWc
  • candidates derived from the SpVar and Frequency matchers in DMNS
  • includes both valid and invalid words

    Year	Word Count	Total	Valid	Invalid	Accu. P
    2015	1000000	3368	2397 (71.17%)	971 (28.83%)	71.17%
    	100000	2218	1520 (68.53%)	698 (31.47%)	70.12%
    	10000	895	605 (67.60%)	290 (32.40%)	69.77%
    	1000	588	249 (42.35%)	339 (57.65%)	67.49%
    	100	538	119 (22.12%)	419 (77.88%)	64.33%
    Accu.	Accu.	7602	4890 (64.33%)	2712 (35.67%)	64.33%

    
    * This model is not performed due to the time consuming and limited resources

• 8.WordNet
  • candidates derived from the derivations, synonyms, antonyms in WordNet 3.0
  • includes both valid and invalid words
  • unique lowercase terms are used (input has both cases), so the total number is smaller than the actual no. of input terms

    Models	Total	Valid	Invalid	Notes
    zeroD, CUI	322	322 (100.00%)	0 (0.00%)	WordNetCand.ZD.cui.2021
    zeroD, no CUI	626	601 (96.01%)	25 (3.99%)	WordNetCand.ZD.noCui.2021
    aPairs	1912	1413 (73.90%)	499 (26.10%)	WordNetCand.AP.2021
    suffixD	3654	3428 (93.81%)	226 (6.19%)	WordNetCand.SD.2021
    Accu.	6508	5758 (88.48%)	750 (11.52%)

• History Logs of prevCand.lmw.rpt

  Date	Total	Valid	Invalid	Notes - completed candList
  2018-11-15	21955	16096 (73.31%)	5859 (26.69%)	2.MNSMatcherParAcr, 2017
  2019-01-03	22763	16687 (73.31%)	6076 (26.69%)	2.MNSMatcherParAcr, 2018
  2019-07-19	24856	18915 (76.10%)	5941 (23.90%)	1.LexiconAbbAcrExpansion, 2020
  2019-08-02	25675	19608 (76.37%)	6067 (23.63%)	3.DMNSMatcherCuiEndWord, 2018
  2019-10-16	26756	20429 (76.35%)	6327 (23.65%)	2.MNSMatcherParAcr, 2019
  2020-06-12	29674	23041 (77.65%)	6633 (22.35%)	3.DMNSMatcherCuiEndWord, 2019
  2020-07-17	29832	23192 (77.74%)	6640 (22.26%)	1.LexiconAbbAcrExpansion, 2021
  2020-08-18	30892	23999 (77.69%)	6893 (22.32%)	2.MNSMatcherParAcr, 2020
  2021-03-01	33737	26512 (78.58%)	7225 (21.42%)	3.DMNSMatcherCuiEndWord, 2020
  2021-07-13	33831	26571 (78.54%)	7260 (21.46%)	1.LexiconAbbAcrExpansion, 2022
  2022-01-10	34128	26868 (78.73%)	7260 (21.27%)	8.WordNetCand.ZD.cui.2021
  2022-01-10	34754	27466 (79.03%)	7288 (20.97%)	8.WordNetCand.ZD.noCui.2021
  2022-07-06	34756	27471 (79.04%)	7285 (20.96%)	1.LexiconAbbAcrExpansion, 2023
  2022-09-27	36649	28865 (78.76%)	7784 (21.24%)	8.WordNetCand.AP.2021
  2024-07-10	40307	32298 (80.13%)	8009 (19.87%)	8.WordNetCand.SD.2021 1.LexiconAbbAcrExpansion, 2024 & 2025
  2025-04-02	41569	32791 (78.88%)	8778 (21.12%)	2.MNSMatcherParAcr, 2021