Generation Of Word Forms Research Articles

Генерация именных словоформ южнолюдиковского диалекта

the Ludic dialect has practically found itself on the periphery of the revitalization processes. There are no academics dictionaries on this dialect in Russia (compared to the Livvi dialect), which affects the low rate of filling of the Ludic sub-corpus in the VepKar. The central part of our work is the developed rules for generating nominal word forms. The rationale for choosing the South Ludic dialect for creating rules is given. The prepared tables demonstrate examples of the Ludiс dialect’s nominal inflection paradigm for single-stem and double-stem words. Inflectional types of names of the South Ludiс dialect are formalized. Rules for identifying stems that are needed for the subsequent generation of nominal word forms of the dialect of Svyatozero are proposed. A program is described, which is part of the VepKar corpus, in which these rules are programmed. The program allows us to speed up the generation of word forms in dictionary entries for subsequent text markup. Objective: to illustrate the rules for the automatic generation of word forms, prepared using a list of stems of nominal parts of speech of the Ludic dialect of the Karelian language. Research materials: lemmas and word forms from the Open Corpus of the Vepsian and Karelian languages (VepKar). Results and novelty of the research: based on the studied theoretical sources, the researchers were able to identify grammatical patterns. In the course of the experiments carried out in the study, a list of the stems and pseudo-stems of the nominal inflection of the Ludic dialect of the Karelian language (Southern Ludic dialect) was formed; a system of rules for generating word forms was developed; a corresponding program was prepared and tested. The scientific novelty of the research lies in the development of a system of unified rules for the automatic generation of word forms for the Ludic dialect of the Karelian language, which is being implemented for the first time

ALGORITHM DEVELOPMENT AND IMPLEMENTATION STEMMATIZATION AND GENERATION OF WORD FORMS OF UZBEK LANGUAGE FOR AUTOMATIC PROCESSING SYSTEMS TEXTS

In the thesis, the problem of the morphological model of theUzbek language is solved to create algorithms for the generation andstemmatization of word forms. In the process of work, a morphological model ofthe Uzbek language was built, a dictionary of affixes and their combinationsdescribing inflectional classes was created, and for the development of a webapplication for stemmatization and generation of word forms in the Uzbeklanguage, it was created in order to be included in automatic text processingsystems.

Разработка правил генерации именных словоформ для новописьменных вариантов карельского языка

Introduction: linking of words of texts (tokens) with meanings of lemmas in the dictionary of VepKar corpus significantly facilitates further work on semantic markup of texts. In 2019, inflectional rules were developed for the Vepsian subcorpora VepKar. To the corpus on the base of these rules a function for generation of a complete paradigm on basic word forms was added. VepKar editors need to enter a large number of word forms when they create dictionary entries in three Karelian subcorpora (about 30 for names and 150 for verbs). Therefore, the development of an algorithm and a computer program for generation of word forms of the Karelian language turned out to be timely. Objective: to illustrate how you can use the list of the stems of the nominal parts of speech of two new-written dialects of the Karelian language to create rules for automatic generation of word forms. Research materials: lemmas and word forms from the Open corpus of the Vepsian and Karelian languages, the Corpus of Border Karelia, and the electronic version of the Dictionary of the Karelian language. Results and novelty of the research: grammatical patterns were studied over many years from theoretical sources, and they were also discovered through experiments. Thanks to this, the list of stems and pseudo-stems of word forms was formed for the nominal parts of speech, the system of rules for generation of word forms was developed, and the corresponding computer program is written and tested. The scientific novelty of the study lies in the first attempt to develop uniform rules for the automatic generation of word forms for two dialects of the Karelian language.

Algorithmic provision of a universal method for word-form generation and recognition

A universal method for word-form recognition and generation is proposed. It includes the model of word formation in natural languages and algorithms for word-form generation and recognition. In the word-formation model, abstracting from typical notions in the morphology of natural languages takes place and word formation is reduced to transformations of the word stem by transformation chains (finite sequences). The classification of transformation chains and the algorithm for their automatic construction are discussed.

The WEAVER model of word-form encoding in speech production

Lexical access in speaking consists of two major steps: lemma retrieval and word-form encoding. In Roelofs (Roelofs, A. 1992a. Cognition 42, 107–142; Roelofs, A. 1993. Cognition 47, 59–87.), I described a model of lemma retrieval. The present paper extends this work by presenting a comprehensive model of the second access step, word-form encoding. The model is called WEAVER (Word-form Encoding by Activation and VERification). Unlike other models of word-form generation, WEAVER is able to provide accounts of response time data, particularly from the picture-word interference paradigm and the implicit priming paradigm. Its key features are (1) retrieval by spreading activation, (2) verification of activated information by a production rule, (3) a rightward incremental construction of phonological representations using a principle of active syllabification, syllables are constructed on the fly rather than stored with lexical items, (4) active competitive selection of syllabic motor programs using a mathematical formalism that generates response times and (5) the association of phonological speech errors with the selection of syllabic motor programs due to the failure of verification.

What Speech Errors Can Tell Us About Word-Form Generation: The Roles of Constraint and Opportunity

The likelihood of occurrence of a speech error is influenced by constraints imposed on the word-form generation process as well as by characteristics of the words in the utterance. In three tongue twister experiments I investigated these roles of constraint and opportunity. In Experiments 1 and 2 word onsets were more likely to interact with each other in a speech error than with phonemes in other positions. However, phonemes in word-internal positions were less likely to interact with each other than with word onsets. These results indicate that word onsets are particularly error-prone and therefore often interact with each other, but are also very likely to engage in interactions with phonemes in other positions if the elicitation technique encourages these interactions. The fatal experiment aimed to create speech errors in which consonants and vowels interacted. These errors are rarely reported in the literature but were successfully generated in this experiment. The implications for a model of word-form generation are discussed.

RECOGNITIONAND GENERATION OF WORD FORMS FOR NATURAL LANGUAGE UNDERSTANDING SYSTEMS: Integrating Two-Level Morphology

A language-independent morphological component for the recognition and generation of word forms is presented. Based on a lexicon of morphs, the approach combines two-level morphology and a feature-based unification grammar describing word formation. To overcome the heavy use of diacritics, feature structures are associated with the two-level rules. These feature structures function as filters for the application of the rules. That way information contained in the lexicon and the morphological grammar can guide the application of the two-level rules. Moreover, information can be transmitted from the two-level part to the grammar part. This approach allows for a natural description of some nonconcatena-tive morphological phenomena as well as morphonological phenomena that are restricted to certain word classes in their applicability. The approach is applied to German inflectional and derivational morphology. The component may easily be incorporated into natural language understanding systems and can be especially useful in medical, scientific, or technical languages where it can be used for the automatic processing of compound words.