| { |
| "paper_id": "1960", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T10:32:11.784663Z" |
| }, |
| "title": "Session 6: SYNTAX NESTING WITHIN THE PREPOSITIONAL STRUCTURE", |
| "authors": [ |
| { |
| "first": "Michael", |
| "middle": [], |
| "last": "Zarechnak", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "Georgetown University", |
| "location": {} |
| }, |
| "email": "" |
| } |
| ], |
| "year": "", |
| "venue": null, |
| "identifiers": {}, |
| "abstract": "This paper presents a preliminary description of an algorithmic operation to handle nested strings within the prepositional structure in Russian.", |
| "pdf_parse": { |
| "paper_id": "1960", |
| "_pdf_hash": "", |
| "abstract": [ |
| { |
| "text": "This paper presents a preliminary description of an algorithmic operation to handle nested strings within the prepositional structure in Russian.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Abstract", |
| "sec_num": null |
| } |
| ], |
| "body_text": [ |
| { |
| "text": "The prepositional structure is defined as consisting of a preposition with its case-determining requirement at the permitted point of entry, and of a noun or its substitute at the permitted point of exit which satisfies the requirement incurred by the preposition.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "\u043d\u0430 \u043c\u043e\u0441\u0442\u0443 \"on the bridge\"", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "The flow chart shown in Appendix II illustrates in detail the variables and relations, as well as the expected results involved in the computable syntactic analysis of the prepositional structure containing one or more nested strings. The nested strings consist of either weak or strong government structure. The former usually precedes the latter. The type of nested string can be another prepositional structure, a pronominal structure, or a noun structure.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "The order of the nested strings is fixed at one point. A pronominal case determiner follows the first preposition.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "A second prepositional case determiner can only occur after the first pronominal case determiner.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "This algorithmic operation has been worked out on the basis of the data extracted from 50, 000 words of continuous text in the field of organic chemistry. It has then been generalized to the degree permissible by the extracted structural cues. The concept of a nested structure is similar to that of the branching of a tree or a graduated series of boxes. The linguistic description of the algorithm is briefly summarized in Appendix III.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "The algorithm has another application besides that of the proper unloading of the nested structure. Later it serves as an input for the transfer from Russian to English and for the rearrangement operator.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "In the list of data given in Appendix I, both the Russian and English equivalents are given first as they actually occur, and subsequently, followed by the letter \"a\", in sequences which are expected to be SYNTAX produced by the computer. The program can be divided into four sections.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "The nested stretch is determined and extracted by another routine and is sent to the Nesting Program for computation.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "Section I (000 series in the flow chart)", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "After setting the counters and other necessary housekeeping and initialization operations, the following steps are taken:", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "1. Inquire whether the first item in the stretch is a preposition with a. case determiner.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "If \"no\", there is an error. Check for the error and restart the operation. If \"yes\", check whether the case determiner of the preposition is ambiguous, and if so go to the special routine for the resolution of the ambiguity. Then proceed to Section II below.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "Section II (100 series in the flow chart)", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "1. Establish the particular case of the case determiner of the preposition.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "2. Remember the case of the first preposition in one counter, and remember the cases of the following prepositions in another counter.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "Each time a preposition is satisfied by unloading, erase the counters.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "3. Check the counters for previously stored weak government, etc. , and unload on the preposition or prepositions with matching cases.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "Move to the next word and proceed to Section III below.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "Section III (200 series in the flow chart)", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "1. Check whether the following word is an adjective, adverb, conjunction, particle, or an infinitive verb. If none of these occurs in the first scanning, there is an error which is checked and the subroutine is tested again. During the subsequent scannings, however, if none of the above occurs, a further check is made to determine whether the item is a noun or another preposition.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "If an adjective was found in Step 1 in this section, a further check is made to determine whether it has a strong case determiner code or a weak one. In either case it is recorded in special separate counters.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "3. If an infinitive verb was found, its determining factor is remembered in another special counter.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "4. In all the above cases the routine moves to the next word (except under special circumstances where the modification is prevented by Switch No. 3) and proceeds to Section IV below.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "Section IV (300 series in the flow chart)", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "1. Check whether the item under consideration is a noun. If \"no\", set the switches for proper execution and go to the beginning of the routine (Point II in the flow chart) to check on preposition, adjective, etc. If \"yes\", go to Step 2 below.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "2. Check whether the noun has a case determiner. If \"yes\", remember it in a special counter, and in either case go to Step 3.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "3. Does the case of this noun correspond with that of the first preposition in the stretch? If \"yes\", unload the code 512x (\"x\" being the proper case found) into the appropriate preposition and noun. ", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Example:", |
| "sec_num": null |
| }, |
| { |
| "text": "The codes have been explained in the report on Current Research at Georgetown University given at this Symposium in Session 2.2 See examples 3 and 22 in Appendix I.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "Session 6: SYNTAX", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| } |
| ], |
| "back_matter": [], |
| "bib_entries": {}, |
| "ref_entries": { |
| "FIGREF0": { |
| "num": null, |
| "type_str": "figure", |
| "uris": null, |
| "text": "the next-to-the-highest \u0443, etc. ; eventually, x with the highest subscript is satisfied by the \u0443 of the lowest subscript. The entire GAT program consists of approximately 40 complex operators. It is assumed that the operations prior to the prepositional operator have assigned the necessary codes to distinguish the word classes. Further, they have assigned the codes for the combinations of word-class sequences on the level of apposition and agreement structures. It should be noted that the prepositional structural analysis is only a small portion of the GAT syntagmatic analysis, which in turn is a stepping-stone toward syntactic analysis. This means that the prepositional structure is treated against the basic concept of computable language analysis as applied to the structure of a sentence. The prepositional structure itself is one of the permissible wordclass combinations in the Russian sentence model. The word classes that can open the position to be occupied by a prepositional structure are the following: noun, verb, adjectival, adverb, and conjunction. These word classes may occur either before or after the prepositional structure. (See examples in Appendix IV. )" |
| }, |
| "FIGREF1": { |
| "num": null, |
| "type_str": "figure", |
| "uris": null, |
| "text": "Check whether there are any agreement or government-extension codes around the noun and unload the 512x code on any of such extensions found. Erase counters and go to the start to check on the next prepositional stretch (Point I in the flow chart).If the result of the first inquiry above was negative, go to Step 4.4.If an adjective with case determiner has been found and the case of the noun corresponds with the case determiner of the adjective, unload 312x on the noun and the adjective, check for extension codes and unload 312x on the extension--if any, move to the next word, and go to the beginning (Point II in the flow chart) to check the next word.If no adjective with case determiner has been found, go to Step 5.5. If a noun with case determiner has been found and the case of the noun agrees with the case determiner of the previous noun, unload and check for any extensions as in Step 4 above. If the result of this inquiry is negative, go to Step 6. 6. If the case of the noun agrees with the case determiner of the preposition (not the first one) or the prepositions, unload 512x on the appropriate noun and preposition and check for extensions as in Step 4 above. If the result of the first inquiry in this step is negative, go to Step 7. 7. If there is an error, write the message, and go to the beginning (Point II in the flow chart) to check on the next word. \u043e\u043d \u0443\u043c\u0435\u0440 \u0434\u0430\u043b\u0435\u043a\u043e \u043e\u0442 \u0434\u0440\u0443\u0437\u0435\u0439 \"he died away from his friends\" \u0442\u043e\u043b\u044c\u043a\u043e \u0434\u043e \u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e\u0433\u043e \u043f\u0440\u0435\u0434\u0435\u043b\u0430 \"only to a certain limit\" Adjective + PN \u0438\u0437\u0432\u0435\u0441\u0442\u043d\u044b\u0445 \u043d\u0430 \u0437\u0435\u043c\u043b\u0435.. .\u0437\u0430\u043f\u0430\u0441\u043e\u0432 \"reserves. . .known on Earth\" \u043f\u043e\u0445\u043e\u0436\u0438\u0435 \u043f\u043e \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u0430\u043c \"s imi l ar in p r op er ties\" Pronoun + PN \u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u0435 \u0438\u0445 \u0432 \u0432\u0438\u0434\u0435 \u0442\u043e\u043f\u043b\u0438\u0432\u0430 \"consumption of them in the form of fuel\" \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 \u0435\u0433\u043e \u0432 \u0432\u043e\u0437\u0434\u0443\u0445\u0435 \"content of it in the air\" Conj + PN \u043e\u0442\u043c\u0435\u0442\u0438\u0442\u044c, \u0447\u0442\u043e \u0432 \u0440\u044f\u0434\u0435 \u0441\u043b\u0443\u0447\u0430\u0435\u0432 \"to note that in a number of cases\" \u0435\u0441\u043b\u0438 \u0432 \u0430\u043b\u0438\u0444\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0446\u0435\u043f\u043e\u0447\u043a\u0435... \"if in the aliphatic chain. . . \"" |
| }, |
| "TABREF1": { |
| "type_str": "table", |
| "num": null, |
| "text": "The expected sequences have been produced manually, but with a simple transformation they can be computed.In this transformation the operators are set in such a way that the values occurring at positions P0 through PN, are eliminated one by one to see what effect on the prepositional structure such an", |
| "content": "<table><tr><td/><td/><td>SYNTAX SYNTAX</td></tr><tr><td colspan=\"2\">Appendix I (Continued)</td><td>APPENDIX III</td></tr><tr><td colspan=\"3\">l la 10 10\u0430 \u043e\u0442 \u0440\u0430\u0441\u0442\u0432\u043e\u0440\u0430, \u043d\u0430\u0441\u044b\u0449\u0435\u043d\u043d\u043e\u0433\u043e \u043d\u0430 \u0445\u043e\u043b\u043e\u0434\u0443 \u0432 \u043e\u043a\u0440\u0443\u0436\u0430\u044e\u0449\u0435\u0439 \u043f\u043b\u0430\u0441\u0442\u0438\u043d\u043a\u0443 \u0441\u0440\u0435\u0434\u0435 \u0432 \u0441\u0440\u0435\u0434\u0435, \u043e\u043a\u0440\u0443\u0436\u0430\u044e\u0449\u0435\u0439 \u043f\u043b\u0430\u0441\u0442\u0438\u043d\u043a\u0443 \u043e\u0442 \u043d\u0430\u0441\u044b\u0449\u0435\u043d\u043d\u043e\u0433\u043e \u043d\u0430 \u0445\u043e\u043b\u043e\u0434\u0443 \u0440\u0430\u0441\u0442\u0432\u043e\u0440\u0430 18 \u043e\u0442 20 \u0434\u043e 30 \u0442\u044b\u0441\u044f\u0447 \u0433\u0435\u0440\u0446 18\u0430 \u00d8 The Nesting Program</td></tr><tr><td colspan=\"3\">elimination would have. 1 in the surrounding plate medium As soon as operator N la in the medium surrounding the plate 10 from a saturated in the cold solution 10a 18 from twenty to thirty thousand cycles per second produces zeros at from a solution saturated in the cold 18a \u00d8</td></tr><tr><td colspan=\"3\">the transform level between positions P0 and PN , we have all the 2 \u0447\u0435\u0440\u0435\u0437 \u043d\u0430\u0433\u0440\u0435\u0442\u0443\u044e \u0434\u043e 160 \u0433\u0440\u0430\u0434\u0443\u0441\u043e\u0432 \u0442\u0440\u0443\u0431\u043a\u0443 2a \u0447\u0435\u0440\u0435\u0437 \u0442\u0440\u0443\u0431\u043a\u0443, \u043d\u0430\u0433\u0440\u0435\u0442\u0443\u044e \u0434\u043e 160 \u0433\u0440\u0430\u0434\u0443\u0441\u043e\u0432 11 \u0438\u0437 \u043b\u0435\u0436\u0430\u0449\u0438\u0445 \u0432 \u043e\u0441\u043d\u043e\u0432\u0435 \u044d\u0442\u0438\u0445 \u043a\u043e\u043c\u043f\u043b\u0435\u043a\u0441\u043e\u0432 \u043f\u0440\u043e\u0441\u0442\u044b\u0445 \u0441\u043e\u043b\u0435\u0438 19 \u0432 \u043f\u043e\u0434\u0432\u0435\u0440\u0433\u0430\u0435\u043c\u043e\u0439 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044e \u0437\u0432\u0443\u043a\u0430 \u0441\u0440\u0435\u0434\u0435 11\u0430 \u0438\u0437 \u043f\u0440\u043e\u0441\u0442\u044b\u0445 \u0441\u043e\u043b\u0435\u0439, \u043b\u0435\u0436\u0430\u0449\u0438\u0445 \u0432 \u043e\u0441\u043d\u043e\u0432\u0435 \u044d\u0442\u0438\u0445 \u043a\u043e\u043c\u043f\u043b\u0435\u043a\u0441\u043e\u0432 19\u0430 \u0432 \u0441\u0440\u0435\u0434\u0435, \u043f\u043e\u0434\u0432\u0435\u0440\u0433\u0430\u0435\u043c\u043e\u0439 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044e \u0437\u0432\u0443\u043a\u0430 information on which the rearrangement should be based, since P0 will be immediately followed by PN and the remaining words will be automatically shifted in their usual sequence after PN . On the basis of the nested structures encountered by us so far, it would appear that only one rearrangement shift is applicable. Example: P0 P1 P2 P3 P4 P5 \u0447\u0435\u0440\u0435\u0437 \u043d\u0430\u0433\u0440\u0435\u0442\u0443\u044e \u0434\u043e 150 \u0433\u0440\u0430\u0434\u0443\u0441\u043e\u0432 \u0442\u0440\u0443bk\u0443 . Let: P0 = \u0430 \u04202 = \u0441 2 through a heated up to 160 degrees tube 11 from the forming the base of these complexes simple salts 19 in an exposed to the action of sound medium 11a from simple salts forming the base of these complexes 19a in a medium exposed to the action of sound 2a through a tube heated up to 160 degrees 3 \u043d\u0430 \u043f\u0440\u043e\u0442\u0435\u043a\u0430\u044e\u0449\u0435\u0439 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u0438\u0435\u043c \u0442\u0435\u043f\u043b\u0430 \u0440\u0435\u0430\u043a\u0446\u0438\u0438 12 \u0432 \u0431\u043b\u0430\u0433\u043e\u043f\u0440\u0438\u044f\u0442\u043d\u044b\u0445 \u0434\u043b\u044f \u0440\u0435\u0430\u043a\u0446\u0438\u0438 \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u043d\u044b\u0445 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 20 \u0438\u0437 \u0437\u0430\u043c\u0435\u0448\u0430\u043d\u043d\u043e\u0433\u043e \u043d\u0430 \u0436\u0438\u0434\u043a\u043e\u043c \u0441\u0442\u0435\u043a\u043b\u0435 \u0446\u0435\u043c\u0435\u043d\u0442\u0430 1 2\u0430 \u0432 \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u043d\u044b\u0445 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445, \u0431\u043b\u0430\u0433\u043e\u043f\u0440\u0438\u044f\u0442\u043d\u044b\u0445 \u0434\u043b\u044f \u0440\u0435\u0430\u043a\u0446\u0438\u0438 20\u0430 \u0438\u0437 \u0446\u0435\u043c\u0435\u043d\u0442\u0430, \u0437\u0430\u043c\u0435\u0448\u0430\u043d\u043d\u043e\u0433\u043e \u043d\u0430 \u0436\u0438\u0434\u043a\u043e\u043c \u0441\u0442\u0435\u043a\u043b\u0435 \u0417\u0430 \u043d\u0430 \u0440\u0435\u0430\u043a\u0446\u0438\u0438, \u043f\u0440\u043e\u0442\u0435\u043a\u0430\u044e\u0449\u0435\u0439 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u0438\u0435\u043c \u0442\u0435\u043f\u043b\u0430 3 upon a proceeding with a great isolation of warmth reaction 12 in favorable for the reaction temperature conditions 20 from a mixed on a liquid glass base cement 1 2a in temperature conditions favorable for the reaction 20a from cement mixed on a liquid glass base \u0417\u0430 upon a reaction proceeding with isolation of warmth 4 \u0441 \u043d\u0435\u043f\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u043c \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043e\u0442 \u043f\u0440\u0438\u0440\u043e\u0434\u044b \u043a\u0430\u0442\u0438\u043e\u043d\u0430 \u0441\u043e\u0434\u0435\u0440\u0436\u0430-13 \u0432 \u0441\u0445\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u0438 \u043d\u0430 \u0440\u0438\u0441\u0443\u043d\u043a\u0435 \u0438\u043e 6 \u043f\u0435\u0447\u0438 21 \u0441\u043e \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b\u043c\u0438 \u0432\u044b\u0434\u0435\u043b\u044f\u0442\u044c \u0433\u0430\u0437\u044b \u0432\u0435\u0449\u0435\u0441\u0442\u0432\u0430\u043c\u0438 1 \u0417\u0430 \u0432 \u043f\u0435\u0447\u0438, \u0441\u0445\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u0439 \u043d\u0430 \u0440\u0438\u0441\u0443\u043d\u043a\u0435 \u0438\u043e 6 21\u0430 \u0441 \u0432\u0435\u0449\u0435\u0441\u0442\u0432\u0430\u043c\u0438, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b\u043c\u0438 \u0432\u044b\u0434\u0435\u043b\u044f\u0442\u044c \u0433\u0430\u0437\u044b \u04204 = \u0435 P1 = b P\u0417 = d P5 = f \u043d\u0438\u0435\u043c \u043a\u0440\u0438\u0441\u0442\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0439 \u0432\u043e\u0434\u044b 4\u0430 \u00d8 13 in the schematically shown in Diagram #6 furnace 21 with capable of isolating gases substances 13a in the furnace shown schematically in Diagram #6 21a with substances capable of isolating gases Then apply the transformation as follows: a b \u0441 d e f R1 \u00d8 \u00d8 \u00d8 \u00d8 \u00d8 \u00d8 R2 a \u00d8 \u00d8 \u00d8 \u00d8 f R3 a f b c d e During the next three months the above-mentioned routines will be tested on the computer against 200, 000 words of continuous Russian text. If the testing yields positive results, the operation will be fur-ther expanded to handle nested strings occurring within other types of government structures. 4 with an indispensable depending on the nature of the cation content of crystallization water 14 \u043e\u0442 \u043f\u0430\u0434\u0430\u044e\u0449\u0435\u0439 \u0432 \u043d\u043e\u0447\u044c \u0440\u043e\u0441\u044b 22 \u0438\u0437 \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u043c\u044b\u0445 \u043d\u0430 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u043c\u0430\u0448\u0438\u043d\u0430\u0445 \u043e\u0447\u0435\u043d\u044c \u0442\u043e\u043d\u043a\u0438\u0445 14\u0430 \u043e\u0442 \u0440\u043e\u0441\u044b, \u043f\u0430\u0434\u0430\u044e\u0449\u0435\u0439 \u0432 \u043d\u043e\u0447\u044c \u0441\u0442\u0435\u043a\u043b\u044f\u043d\u044b\u0445 \u043d\u0438\u0442\u0435\u0439 4a \u00d8 5 \u043a\u0440\u043e\u043c\u0435 \u043f\u0440\u0438\u0432\u0435\u0434\u0435\u043d\u043d\u044b\u0445 \u0432 \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u043c \u0442\u0435\u043a\u0441\u0442\u0435 \u0442\u0438\u043f\u043e\u0432 14 22\u0430 \u0438\u0437 \u043e\u0447\u0435\u043d\u044c \u0442\u043e\u043d\u043a\u0438\u0445 \u0441\u0442\u0435\u043a\u043b\u044f\u043d\u044b\u0445 \u043d\u0438\u0442\u0435\u0439, \u043f\u043e\u043b\u0443\u0447\u0430\u0435\u043c\u044b\u0445 \u043d\u0430 because of falling at night dew \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043di\u0445 \u043c\u0430\u0448\u0438\u043d\u0430\u0445 14a because of dew falling at night 5\u0430 \u043a\u0440\u043e\u043c\u0435 \u0442\u0438\u043f\u043e\u0432, \u043f\u0440\u0438\u0432\u0435\u0434\u0435\u043d\u043d\u044b\u0445 \u0432 \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u043c \u0442\u0435\u043a\u0441\u0442\u0435 5 besides the given in the basic text types 15 22 out of manufactured by special machines fine glass fiber \u043d\u0430 \u043f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u0432\u0448\u0435\u0439\u0441\u044f \u043e\u0442 \u043e\u0442\u0446\u0430 \u043a \u0441\u044b\u043d\u0443 \u0440\u0435\u0446\u0435\u043f\u0442\u0443\u0440\u0435 22a out of fine glass fiber manufactured by special machines 15\u0430 \u043d\u0430 \u0440\u0435\u0446\u0435\u043f\u0442\u0443\u0440\u0435, \u043f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u0432\u0448\u0435\u0439\u0441\u044f \u043e\u0442 \u043e\u0442\u0446\u0430 \u043a \u0441\u044b\u043d\u0443 5a besides the types given in the basic text 6 \u043d\u0430\u0434 \u043d\u0430\u0433\u0440\u0435\u0442\u044b\u043c \u0434\u043e 500 \u0433\u0440\u0430\u0434\u0443\u0441\u043e\u0432 \u043a\u0430\u0442\u0430\u043b\u0438\u0437\u0430\u0442\u043e\u0440\u043e\u043c 15 23 \u0438\u0437 \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u044b\u0445 \u043d\u0435\u043f\u0440\u0435\u0434\u0435\u043b\u044c\u043d\u044b\u043c \u0443\u0433\u043b\u0435\u0432\u043e\u0434\u043e\u0440\u043e\u0434\u0430\u043c \u043d\u0435\u043d\u0430\u0441\u044b\u0449\u0435\u043d-according to passed down from father to son prescription \u043d\u044b\u0445 \u0441\u0438\u043b\u0430\u043d\u043e\u0432 1 5a according to a prescription passed down from father to son 23\u0430 \u0438\u0437 \u043d\u0435\u043d\u0430\u0441\u044b\u0449\u0435\u043d\u043d\u044b\u0445 \u0441\u0438\u043b\u0430\u043d\u043e\u0432, \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u044b\u0445 \u043d\u0435\u043f\u0440\u0435\u0434\u0435\u043b\u044c\u043d\u044b\u043c \u0443\u0433\u043b\u0435-6\u0430 \u043d\u0430\u0434 \u043a\u0430\u0442\u0430\u043b\u0438\u0437\u0430\u0442\u043e\u0440\u043e\u043c, \u043d\u0430\u0433\u0440\u0435\u0442\u044b\u043c \u0434\u043e 500 \u0433\u0440\u0430\u0434\u0443\u0441\u043e\u0432 6 16 \u043e\u0442 \u0432\u0432\u043e\u0434\u0438\u043c\u044b\u0445 \u0432 \u0440\u0435\u0430\u043a\u0446\u0438\u044e \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432 \u0432\u0435\u0449\u0435\u0441\u0442\u0432 \u0432\u043e\u0434\u043e\u0440\u043e\u0434\u0430\u043c over a heated up to 500 degrees catalizer 16\u0430 \u043e\u0442 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432 \u0432\u0435\u0449\u0435\u0441\u0442\u0432, \u0432\u0432\u043e\u0434\u0438\u043c\u044b\u0445 \u0432 \u0440\u0435\u0430\u043a\u0446\u0438\u044e 23 out of analogical to saturated hydrocarbons unsaturated silances 6a over a catalizer heated up to 500 degrees 7 16 23a out of unsaturated silances analogical to saturated hydrocarbons from introduced into reaction quantities of substances \u043d\u0430\u0434 \u043d\u0430\u0433\u0440\u0435\u0442\u044b\u043c \u0434\u043e 140 \u0433\u0440\u0430\u0434\u0443\u0441\u043e\u0432 \u0443\u0433\u043b\u0435\u043c 16a from quantities of substance introduced into reaction 24 \u043f\u043e \u0432\u0442\u043e\u0440\u043e\u043c\u0443 \u0438 \u043e\u0442\u0447\u0430\u0441\u0442\u0438 \u043f\u043e \u0442\u0440\u0435\u0442\u044c\u0435\u043c\u0443 \u043c\u0435\u0442\u043e\u0434\u0430\u043c 7a \u043d\u0430\u0434 \u0443\u0433\u043b\u0435\u043c, \u043d\u0430\u0433\u0440\u0435\u0442\u044b\u043c \u0434\u043e 140 \u0433\u0440\u0430\u0434\u0443\u0441\u043e\u0432 17 \u0438\u0437 \u043e\u043f\u0438\u0441\u0430\u043d\u043d\u044b\u0445 \u0438\u043c \u043c\u0435\u0442\u043e\u0434\u043e\u0432 24\u0430 \u00d8</td></tr><tr><td colspan=\"3\">7 1 7\u0430 \u0438\u0437 \u043c\u0435\u0442\u043e\u0434\u043e\u0432, \u043e\u043f\u0438\u0441\u0430\u043d\u043d\u044b\u0445 \u0438\u043c over heated up to 140 degrees coal 24 according to the second and partially to the third method 7a over coal heated up to 140 degrees 9 9\u0430 \u043e\u0442 \u0442\u0432\u0435\u0440\u0434\u044b\u0445 \u0438 \u0436\u0434\u043a\u0438\u0445 \u0447\u0430\u0441\u0442\u0438\u0446, \u0432\u0437\u0432\u0435\u0448\u0435\u043d\u043d\u044b\u0445 \u0432 \u043d\u0438\u0445 1 7a from methods described by him \u043e\u0442 \u0432\u0437\u0432\u0435\u0448\u0435\u043d\u043d\u044b\u0445 \u0432 \u043d\u0438\u0445 \u0442\u0432\u0435\u0440\u0434\u044b\u0445 \u0438 \u0436\u0438\u0434\u043a\u0438\u0445 \u0447\u0430\u0441\u0442\u0438\u0446 17 from described by him methods 24a \u00d8</td></tr><tr><td>9</td><td colspan=\"2\">because of suspended in their solid and liquid particles</td></tr><tr><td colspan=\"3\">9a because of solid and liquid particles suspended in them</td></tr></table>", |
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