• 영어어문교육
• /
• 제15권3호
• /
• pp.301-314
• /
• 2009

This study explores the function of the affixes -en and -ing that could influence the theta-roles of verbs to which the affixes are attached. The two affixes often appear in the synthetic compounds in English. The results are as follows. First, the affixes -en and -ing link the theta-role realized in the subject of the verb to the noun followed, which is proposed as Theta-linking Principle: that is, the affixes -en and -ing link the theta-role realized in the subject of the verb to the noun followed. Second, in the synthetic compounds including the affixes -en and -ing, the left element must not be the subject of the verb, which is the Synthetic Compound Constraint. And the affix -er link thematic roles of the sentential subject, such as Agent, Instrument. Thus, this study aims to find out the function of the affixes on the point of lexical functional approach.

• 말소리와 음성과학
• /
• 제8권4호
• /
• pp.9-14
• /
• 2016

This study investigated the patterns of coda deletion in spontaneous Seoul Korean speech. More specifically, the current study focused on three factors in promoting coda deletion, namely, word position, consonant type, and morpheme type. The results revealed that, first, coda deletion frequently occurred when affixes were attached to the ends of words, rather than in affixes in word-internal positions or in roots. Second, alveolar consonants [n] and [l] in the coda positions of high-frequency affixes [nɨn] and [lɨl] were most likely to be deleted. Additionally, regarding affix reduction in the word-final position, all subjects seemed to depend on this articulatory strategy to a similar degree. In sum, the current study found that affixes without primary semantic content in spontaneous speech tend to undergo the process of reduction, favoring the occurrence of specific pronunciation variants.

• 대한음성학회:학술대회논문집
• /
• 대한음성학회 2003년도 5월 학술대회지
• /
• pp.97-100
• /
• 2003

The present study was planned to investigate the cortical activation correlated with producing morphologically complex Korean verbs by using. fMRI technique. In this study two derivational affixes and two inflectional affixes were selected: pre-final ending and final ending for inflectional affix and passive affix and causative affix for derivational affix. Two Experiment were conducted. The results of two Experiments suggest a possibility that process of pre-final ending is different from final ending.

• 한국언어정보학회지:언어와정보
• /
• 제15권1호
• /
• pp.1-12
• /
• 2011

This study investigates morphologically complex nouns in Korean through a series of priming studies. Two experiments examined whether morphological affixes on Korean nouns were decomposed or processed as a whole. Two types of morphological affixes were examined: morpho-syntactic case markers and the plural marker '-tul'. Results showed that priming occurred for the plural marker with SOAs of 80 ms and 160 ms, but no priming occurred for the morpho-syntactic case markers. These results suggest that the morphological processing for these two types of affixes differ. We argue that Korean nouns with the plural suffix are decomposed into the stem and affix, supporting the Decomposition Model (Pinker & Ullman, 2002). We suggest that while plural markers are truly morphological affixes, case markers in Korean are morpho-syntactic, and thus presuppose the existence of other syntactic elements, such as the matrix verb, hence the lack of priming effects.

• 한국언어정보학회:학술대회논문집
• /
• 한국언어정보학회 1992년도 Language, Information and Computation = Proceedings of Asian Conference, Seoul
• /
• pp.176-188
• /
• 1992

• 스마트미디어저널
• /
• 제12권9호
• /
• pp.19-27
• /
• 2023

형태소는 한국어에서 의미를 가진 최소단위이기 때문에, 한국어 언어모델의 성능을 높이기 위해서는 정확한 형태소 분석기의 개발이 필요하다. 기존의 형태소 분석기는 대부분 어절 단위 토큰을 입력 값으로 학습하여 형태소 분석 결과를 제시한다. 하지만 한국어의 어절은 어근에 조사나 접사가 부착된 형태이기 때문에 어근이 같은 어절이어도 조사나 접사로 인해 의미가 달라지는 성향이 있다. 따라서 어절 단위 토큰을 사용하여 형태소를 학습하면 조사나 접사에 대한 오분류가 발생할 수 있다. 본 논문에서는 형태소 단위의 토큰을 사용하여 한국어 문장에 내재된 의미를 과악하고, Transformer를 사용한 시퀀스 생성 방식의 형태소 분석기를 제안한다. 또한, 미등록 단어 문제를 해결하기 위해 학습 말뭉치 데이터를 기반으로 사용자 사전을 구축하였다. 실험 과정에서 각 형태소 분석기가 출력 한 형태소와 품사 태그를 함께 정답 데이터와 비교하여 성능을 측정하였으며, 실험 결과 본 논문에서 제시한 형태소 분석기가 기존 형태소 분석기에 비해 성능이 높음을 증명하였다.

• International Journal of Computer Science & Network Security
• /
• 제23권4호
• /
• pp.1-6
• /
• 2023

Morphological analysis is a branch of natural language processing, is now a rapidly growing field. The fundamental tenet of morphological analysis is that it can establish the roots or stems of words and enable comparison to the original term. Arabic is a highly inflected and derivational language and it has a strong structure. Each root or stem can have a large number of affixes attached to it due to the non-concatenative nature of Arabic morphology, increasing the number of possible inflected words that can be created. Accurate verb recognition and extraction are necessary nearly all issues in well-known study topics include Web Search, Information Retrieval, Machine Translation, Question Answering and so forth. in this work we have designed and implemented an algorithm to detect and recognize Arbic Verbs from Arabic text.The suggested technique was created with "Python" and the "pyqt5" visual package, allowing for quick modification and easy addition of new patterns. We employed 17 alternative patterns to represent all verbs in terms of singular, plural, masculine, and feminine pronouns as well as past, present, and imperative verb tenses. All of the verbs that matched these patterns were used when a verb has a root, and the outcomes were reliable. The approach is able to recognize all verbs with the same structure without requiring any alterations to the code or design. The verbs that are not recognized by our method have no antecedents in the Arabic roots. According to our work, the strategy can rapidly and precisely identify verbs with roots, but it cannot be used to identify verbs that are not in the Arabic language. We advise employing a hybrid approach that combines many principles as a result.

• 한국언어정보학회지:언어와정보
• /
• 제14권2호
• /
• pp.33-46
• /
• 2010

This paper introduces a new linguistic-focused approach for sentiment analysis (SA) of Korean. In order to overcome shortcomings of previous works that focused mainly on statistical methods, we made effective use of various linguistic features reflecting the nature of Korean. These features include contextual shifters, modal affixes, and the morphological dependency of chunk structures. Moreover, in order to eschew possible confusion caused by ambiguous words and to improve the results of SA, we also proposed simple adjustment methods of word senses using KOLON ontology mapping information. Through experiments we contend that effective use of linguistic features and ontological information can improve the results of sentiment analysis of Korean.

• 한국영어학회지:영어학
• /
• 제3권4호
• /
• pp.547-570
• /
• 2003

There are a fair number of suffixes in English whose conditions on attachment refer to stress and/or segmental information contained within the words they attach to (see Siegel 1974, Jespersen 1942 and Marchand 1969). Through a wide study of relevant data, we will delve deeply into such phonological restrictions on the bases, which may as well be divided into four distinct types: haplological constraints; segmental constraints; prosodic constraints; and mixed types. We will further assume here that the category/ subcategorization requirements of affixes are subject to the Projection Principle (PP) as conceived in Kiparsky (1983). It will be shown how this PP interacts with phonological constraints placed upon the affix in question, especially in the treatment of-ful (inventful/mournful) or -en (longen/lengthen). Our account of problematic affixations in English is based on a number of violable constraints in OT.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
• /
• 한국정보과학회언어공학연구회 2009년도 제21회 한글 및 한국어 정보처리 학술대회
• /
• pp.186-190
• /
• 2009

품사 부착은 각종 자연어처리의 기본적인 요소이며, 크게 규칙 기반 방법과, 통계 기반 방법으로 나눌 수 있다. 대부분은 통계 기반의 기계학습을 이용하고 있으며, 대개 95% 이상의 성능을 보여주고 있다. 그러나 미등록어에 대해서는 성능이 그다지 높지 않다. 이 논문에서는 단어의 접사 정보를 이용해서 미등록어에 대한 품사 부착의 성능을 높이는 방법을 제안한다. 제안된 시스템은 CRF(Conditional Random Fields)를 이용하며, 그 자질의 일부로 접사 정보를 이용한다. 그 결과 미등록어에 대해서 약 40%의 성능이 개선되었다. 앞으로 미등록어에 적합한 자질을 연구하고 개발할 필요가 있을 것으로 생각된다.