Word Speech Research Articles

LEKSIKON MAKIAN DALAM PERTUTURAN BAHASA INDONESIA: KAJIAN SOSIOLINGUISTIK

This research reveals the use of swear words in Indonesian language speech, including cursing, the referent of swear words, the type of target substance, the factors that influence the use of swearing, and gender: the data analysis used comparative, matching, and introspection methods with a socio pragmatic lens. Speaking pattern is used to know about the factors behind using the swear words. The study results are that the form of the swearing lexicon consists of words, phrases, and clauses. The shorter the form of swearing, the more expressive the name of curses is. The swear words referred to the body, nature, activity, animal, profession, artist/character, food, spirits, kinship, ethnicity, and hometown. The target substance to which abuse is aimed at ignorance, abnormality, something cursed, unlucky, and disgusting. The swear lexicon is spoken more often by men than women.

Automatic generation of semantic network for question answering

Semantic network model for representing data and knowledge was analysed. Selection of this model for working with text information was justified. The objective of automatic semantic network generation based on an arbitrary Russian-language text was formulated. Initial data, conditions and constraints necessary for network generation algorithm are listed. As a result of the part-of-speech analysis for each word and word order in a sentence, semantic relations between words are determined. The Lexeme dictionary was created to determine the part of speech of words in sentences. A set of question types used in the semantic network was selected. The number of relations in the network is regulated due to the possibility to use only necessary relation types when resolving a specific task. With that, the relations in semantic network can have very different types, which makes it a universal model for representing data and knowledge. The algorithm was developed which allows one to get answers for the questions asked. The semantic network model was generated automatically for the sentences considered. In the proposed algorithm the semantic network is interpreted as unoriented graph on which breadth-first search algorithm is used to find an answer. The proposed algorithms were implemented in a software tool which automatically generates the semantic network for an arbitrary text. The created software tool allows asking questions and getting answers to them based on the information which is stored in the semantic network. The experiments have shown that the generated semantic network gives correct answers to the questions posed. The network is modified by adding and removing information in it. There is a possibility to choose complexity of network structure depending on a specific task being resolved. The proposed approach for building and working with the semantic network allows one to process texts in various languages, to use it in information systems with natural-language interface, and to resolve such tasks as text classification and text search.

Application of an Isolated Word Speech Recognition System in the Field of Mental Health Consultation: Development and Usability Study.

BackgroundSpeech recognition is a technology that enables machines to understand human language.ObjectiveIn this study, speech recognition of isolated words from a small vocabulary was applied to the field of mental health counseling.MethodsA software platform was used to establish a human-machine chat for psychological counselling. The software uses voice recognition technology to decode the user's voice information. The software system analyzes and processes the user's voice information according to many internal related databases, and then gives the user accurate feedback. For users who need psychological treatment, the system provides them with psychological education.ResultsThe speech recognition system included features such as speech extraction, endpoint detection, feature value extraction, training data, and speech recognition.ConclusionsThe Hidden Markov Model was adopted, based on multithread programming under a VC2005 compilation environment, to realize the parallel operation of the algorithm and improve the efficiency of speech recognition. After the design was completed, simulation debugging was performed in the laboratory. The experimental results showed that the designed program met the basic requirements of a speech recognition system.

Classification of Vowels from Imagined Speech with Convolutional Neural Networks

Imagined speech is a relatively new electroencephalography (EEG) neuro-paradigm, which has seen little use in Brain-Computer Interface (BCI) applications. Imagined speech can be used to allow physically impaired patients to communicate and to use smart devices by imagining desired commands and then detecting and executing those commands in a smart device. The goal of this research is to verify previous classification attempts made and then design a new, more efficient neural network that is noticeably less complex (fewer number of layers) that still achieves a comparable classification accuracy. The classifiers are designed to distinguish between EEG signal patterns corresponding to imagined speech of different vowels and words. This research uses a dataset that consists of 15 subjects imagining saying the five main vowels (a, e, i, o, u) and six different words. Two previous studies on imagined speech classifications are verified as those studies used the same dataset used here. The replicated results are compared. The main goal of this study is to take the proposed convolutional neural network (CNN) model from one of the replicated studies and make it much more simpler and less complex, while attempting to retain a similar accuracy. The pre-processing of data is described and a new CNN classifier with three different transfer learning methods is described and used to classify EEG signals. Classification accuracy is used as the performance metric. The new proposed CNN, which uses half as many layers and less complex pre-processing methods, achieved a considerably lower accuracy, but still managed to outperform the initial model proposed by the authors of the dataset by a considerable margin. It is recommended that further studies investigating classifying imagined speech should use more data and more powerful machine learning techniques. Transfer learning proved beneficial and should be used to improve the effectiveness of neural networks.

Brain activity reflects the predictability of word sequences in listened continuous speech

Natural speech builds on contextual relations that can prompt predictions of upcoming utterances. To study the neural underpinnings of such predictive processing we asked 10 healthy adults to listen to a 1-h-long audiobook while their magnetoencephalographic (MEG) brain activity was recorded. We correlated the MEG signals with acoustic speech envelope, as well as with estimates of Bayesian word probability with and without the contextual word sequence (N-gram and Unigram, respectively), with a focus on time-lags. The MEG signals of auditory and sensorimotor cortices were strongly coupled to the speech envelope at the rates of syllables (4–8 ​Hz) and of prosody and intonation (0.5–2 ​Hz). The probability structure of word sequences, independently of the acoustical features, affected the ≤ 2-Hz signals extensively in auditory and rolandic regions, in precuneus, occipital cortices, and lateral and medial frontal regions. Fine-grained temporal progression patterns occurred across brain regions 100–1000 ​ms after word onsets. Although the acoustic effects were observed in both hemispheres, the contextual influences were statistically significantly lateralized to the left hemisphere. These results serve as a brain signature of the predictability of word sequences in listened continuous speech, confirming and extending previous results to demonstrate that deeply-learned knowledge and recent contextual information are employed dynamically and in a left-hemisphere-dominant manner in predicting the forthcoming words in natural speech.

Content Words in Child-Directed Speech of Mothers Toward Children With Autism Spectrum Disorder.

Purpose Our study aimed to analyze the characteristics of content word usage in mother's child-directed speech ( CDS) toward children with autism spectrum disorder compared to mother's CDS toward typically developing children. Method We analyzed the lexical characteristics of CDS of mothers of children with autism (16 dyads) and compared them from a language developmental perspective to mothers of 20 typical children at the same level of expressive language development. Results Results suggest that mothers of children with autism use equal amounts of content words at the same language level, but the content consists of significantly more concrete nouns and active verbs and rarely the use of abstract nouns, stative verbs, adjectives, and adverbs. Conclusion This study suggests that professionals and parents of children with autism should be aware of the importance of varying their language use of content words.

Audiological and subjective outcomes of 100 implanted transcutaneous bone conduction devices and preoperative bone conduction hearing aids in patients with bilateral microtia-atresia

Background: Bonebridge (BB) and bone conduction hearing aid (BCHA) are effective in patients with bilateral congenital microtia-atresia (CMA).Objectives: To investigate and compare the outcomes of these devices in a large sample size.Materials and methods: This single center prospective study involved 100 patients with bilateral CMA who were implanted with BBs and used BCHAs before implantation. Sound field threshold (SFT), speech reception thresholds (SRTs) and word recognition scores (WRSs) were compared between unaided, BCHA used and implanted patients. The Abbreviated Profile of Hearing Aid Benefit (APHAB) was used to evaluate subjective satisfaction.Results: Compared to unaided condition, the SFT, WRS and SRT of BCHA and BB were significantly improved. With BCHA or BB, the three subscale scores of the APHAB (ease of communication, background noise and reverberation) significantly reduced. However, the aversiveness subscale scored significantly higher than unaided condition. All outcomes were better in BB condition than BCHA.Conclusions: BB or BCHA use can be considered as effective methods to improve audiological outcomes and subjective satisfaction. Although not as good as BB, BCHA use is critical for improving hearing in the early period of language and auditory pathway development before the skull is suitable for BB implantation.

T55. DETECTING SEMANTIC DISTANCE ABNORMALITIES IN PSYCHOSIS: QUANTIFICATION OF WORD ASSOCIATIONS USING SEMANTIC SPACE MODELING

BackgroundLanguage Disorganisation is central to the conceptualization of psychosis. Disruptions in semantic processing have been observed both as a “state”, and a “trait” phenomena in psychotic disorders. Quantification of semantic abnormalities have been improved with recent advances in semantic modeling. The current study applied such computational methods on a word association task, using immediate response to cue words to explore semantic associations. We employed a longitudinal design to investigate semantic relationships during a psychotic episode compared with the same patients after remission six months later, in order to clarify the state-trait status of the semantic variables, and their relationships with clinical symptoms. We hypothesized that semantic distance would be significantly greater in patients than controls at baseline, and would decrease upon follow-up.MethodsA continued word association task (WAT) was employed to elicit three associations per cue from a set of 200 cue-words. The set of cues were previously established as being representative of words in general speech, in terms of valence, concreteness and part-of-speech composition. The task was administered to 47 patients with schizophrenia spectrum disorders and 44 matched healthy control participants. Data was collected at two time points, at baseline when patients were actively psychotic and then at 6-months follow-up. In addition, extensive clinical and cognitive measures were collected at both time points. Patterns of word associations were explored using vector representations, derived from Word2Vec, that encompass semantic meaning. Semantic distance of each cue-response pairing is defined using the cosine angle of their vectors. Changes in semantic distance were further examined on their correlation with symptom change over time.ResultsThere was a significant interaction between group and time point on semantic distance (F = 6.865, p = 0.009), where measures of the semantic distance of patients’ responses were significantly greater than healthy controls at both time-points (p < 0.001).There is a significant time effect: the semantic distance reduced significantly over time (p < 0.001). Within the patient group, a change in semantic distance was correlated with symptom change over time, specifically with general psychopathology (p =0.024), depressive (p = 0.046) and manic symptoms (p < 0.01).DiscussionMeasures of semantic distance were significantly greater in patients both at baseline during a psychotic episode, and at follow-up upon clinical remission. There is a significant but not full normalization of semantic distance upon remission. Increase in semantic distance is therefore both a state and a trait marker in psychosis. We have employed a novel technique to quantify semantic distance of a word association task using Word2Vec to generate vector representations of responses in a high-dimensional semantic space. The findings illustrate the feasibility of applying Word2Vec to a word association task to detect subtle changes in language. Subsequent research possibilities using this approach includes exploration of the semantic content of responses, by grouping similar meaning responses into conceptual clusters, and its correlation with symptom change.

Analisis Sentimen Hate Speech Pada Portal Berita Online Menggunakan Support Vector Machine (SVM)

Salah satu bentuk tindak kriminal yang bisa dijerat dengan undang-undang ITE adalah Hate speech. Namun saat ini netizen di Indonesia masih banyak menggunakan kata-kata Hate Speech dalam mengomentari berita di media online. Dampaknya adalah banyak netizen saat ini yang diperkarakan ke kepolisian oleh pihak yang merasa dirugikan. Hal ini terjadi karena kurangnya informasi dari netizen mengenai hate speech. Penelitian yang akan dilakukan terkait pendeteksian kata-kata yang mengadung Hate Speech pada porta berita online. Pendekatan yang digunakan untuk melakukan pendeteksian kata-kata Hate Speech menggunakan Neural Language Processing dengan menggunakan metode Support Vector Machine (SVM). Untuk mengukur tingkat keakuratan dilakukan beberapa skenario uji coba sehingga tingkat keakuratannya menjadi lebih baik. Komentar pada penelitian ini didapat pada sebuah portal berita online terpopuler di Indonesia. Algoritma SVM dapat diterapkan dalam menganalisa komentar terkait isu politik yang mengngandung Hate Speech dengan nilai akurasi yang bisa sebesar 53. 88% serta nilai Recall adalah 49,69%, Precision adalah 48,77%, Classification error adalah 46,12% dan fmeasure adalah 49.23%.. Dengan adanya penelitian yang akan dilakukan ini bisa menjadi rujukan portal berita untuk menerapkan sistem filtering sehingga kedepannya kasus-kasus mengenai Hate Speech ini dapat diminimalisir.

Spoken word recognition of L2 using probabilistic phonotactics in L1: evidence from Cantonese-English bilinguals

Previous research in various languages has demonstrated that probabilistic phonotactics may serve as a cue to locate the beginnings and endings of spoken words in speech. It was hypothesized these types of information in L1 might also be used in spoken word recognition of L2 by fluent bilingual listeners. The present study used a word-spotting experiment investigate whether Cantonese-English bilingual listeners make use of their L1 (Cantonese) probabilistic phonotactic information in recognizing spoken words in L2 (English) speech. The results showed that the Cantonese-English bilingual listeners made use of L1 probabilistic phonotactics to recognize L2 words in speech.

Historical Change in the Moral Foundations of Political Persuasion.

How have attempts at political persuasion changed over time? Using nine corpora dating back through 1789, containing over 7 million words of speech (1,666 documents in total), covering three different countries, plus the entire Google nGram corpus, we find that language relating to togetherness permanently crowded out language relating to duties and obligations in the persuasive speeches of politicians during the early 20th century. This shift is temporally predicted by a rise in Western nationalism and the mass movement of people from more rural to more urban areas and is unexplained by changes in language, private political speech, or nonmoral persuasion. We theorize that the emergence of the modern state in the 1920s had psychopolitical consequences for the ways that people understood and communicated their relationships with their government, which was then reflected in the levers of persuasion chosen by political elites.

Long-term Hearing Preservation in Electric Acoustic Cochlear Implant Candidates.

To evaluate long-term stability and residual hearing preservation after cochlear implantation with electric acoustic stimulation (EAS). Retrospective chart-analysis. University clinic. Long- and short-term hearing preservation (HP) of 18 EAS subjects (21 ears) was evaluated. Short-term was defined as follow-ups less than 12 months after surgery versus long-term outcomes longer than 12 months postsurgery. Mean period of observation in the short-term group was 4 ± 3.0 months (range 0-7). In the long-term group the mean follow-up was 28.4 ± 15.0 months (range 12-58). Full insertion was possible in all 18 implanted subjects. In the short-term group, complete HP was achieved in 50%, partial HP in 33.3%, and minimal HP in 8.3% of the investigated subjects. One subject lost hearing completely. In the long-term group, complete HP was achieved in 50%, partial HP was observed in 40%, and minimal HP in 10% of the ears. No subject lost hearing completely. Subjects using EAS showed better word recognition scores after surgery (mean at 65 dB 55.3 ± 18.4; mean at 80 dB 68.1 ± 12.2) than subjects using electric stimulation only (mean at 65 dB 38.3 ± 18.1; mean at 80 dB 60.0 ± 16.4) with nonfunctional low-frequency hearing. The study confirms that hearing can be preserved to a large extent. As a result, most subjects benefitted from EAS. Subjects with postoperative functional low-frequency hearing showed greater benefit in word speech tests. Furthermore, the outcomes show that EAS implantation is a safe, effective, and most importantly stable treatment option (longest follow-up with 58 mo).

Multiclass covert speech classification using extreme learning machine.

The objective of the proposed research is to classify electroencephalography (EEG) data of covert speech words. Six subjects were asked to perform covert speech tasks i.e mental repetition of four different words i.e 'left', 'right', 'up' and 'down'. Fifty trials for each word recorded for every subject. Kernel-based Extreme Learning Machine (kernel ELM) was used for multiclass and binary classification of EEG signals of covert speech words. We achieved a maximum multiclass and binary classification accuracy of (49.77%) and (85.57%) respectively. The kernel ELM achieves significantly higher accuracy compared to some of the most commonly used classification algorithms in Brain-Computer Interfaces (BCIs). Our findings suggested that covert speech EEG signals could be successfully classified using kernel ELM. This research involving the classification of covert speech words potentially leading to real-time silent speech BCI research.

Examining the Role of Eye Movements During Conversational Listening in Noise.

Speech comprehension is often thought of as an entirely auditory process, but both normal hearing and hearing-impaired individuals sometimes use visual attention to disambiguate speech, particularly when it is difficult to hear. Many studies have investigated how visual attention (or the lack thereof) impacts the perception of simple speech sounds such as isolated consonants, but there is a gap in the literature concerning visual attention during natural speech comprehension. This issue needs to be addressed, as individuals process sounds and words in everyday speech differently than when they are separated into individual elements with no competing sound sources or noise. Moreover, further research is needed to explore patterns of eye movements during speech comprehension – especially in the presence of noise – as such an investigation would allow us to better understand how people strategically use visual information while processing speech. To this end, we conducted an experiment to track eye-gaze behavior during a series of listening tasks as a function of the number of speakers, background noise intensity, and the presence or absence of simulated hearing impairment. Our specific aims were to discover how individuals might adapt their oculomotor behavior to compensate for the difficulty of the listening scenario, such as when listening in noisy environments or experiencing simulated hearing loss. Speech comprehension difficulty was manipulated by simulating hearing loss and varying background noise intensity. Results showed that eye movements were affected by the number of speakers, simulated hearing impairment, and the presence of noise. Further, findings showed that differing levels of signal-to-noise ratio (SNR) led to changes in eye-gaze behavior. Most notably, we found that the addition of visual information (i.e. videos vs. auditory information only) led to enhanced speech comprehension – highlighting the strategic usage of visual information during this process.

The Serbian version of the „Oral Health Questionnaire for Adults“

Background/Aim. The assessment of the impact of oral health on the quality of life presents the increasing need in testing oral health of an individual and of the entire population. The aim of the study was to translate the index of ?Oral Health Questionnaire for Adults? of the World Health Organization into the Serbian language and to check its reliability in the Serbian Armed Forces professional staff. Methods. This study was designed as an observation-al, epidemiological study. The ?Oral Health Questionnaire for Adults? was translated into the Serbian language. The classical test theory was used in the data analysis. The assessed characteristics included internal consistency and construct validity. Results. A total of 1,741 participants were included in this analysis. The mean age of the study group was 32.4 ? 9.7 years. In the last 12 months, problems which occurred frequently or very often regarding teeth and mouth were as follows: difficult biting of food (6.2%), difficult chewing (5.1%), difficult speech or difficult pronunciation of certain words (1.9%), dryness of the mouth (2.9%), the feeling of discomfort due to the esthetic appearance of teeth (6.8%). The reliability of the ?Oral Health Questionnaire for Adults? (items considering Oral Health Self-Assessment) had high internal consistency (the Cronbach?s coefficient was 0.879). The Principal component analysis and Promax rotation revealed 1 factor with Eigenvalue exceeding 1, accounting for 54.3% of the total variance. Conclusion. The Serbian version of the ?Oral Health Questionnaire for Adults? provides very useful and reliable in-formation on the condition of oral health of the Serbian Armed Forces professional members.

Transcranial alternating current stimulation in the theta band but not in the delta band modulates the comprehension of naturalistic speech in noise

Auditory cortical activity entrains to speech rhythms and has been proposed as a mechanism for online speech processing. In particular, neural activity in the theta frequency band (4–8 ​Hz) tracks the onset of syllables which may aid the parsing of a speech stream. Similarly, cortical activity in the delta band (1–4 ​Hz) entrains to the onset of words in natural speech and has been found to encode both syntactic as well as semantic information. Such neural entrainment to speech rhythms is not merely an epiphenomenon of other neural processes, but plays a functional role in speech processing: modulating the neural entrainment through transcranial alternating current stimulation influences the speech-related neural activity and modulates the comprehension of degraded speech. However, the distinct functional contributions of the delta- and of the theta-band entrainment to the modulation of speech comprehension have not yet been investigated. Here we use transcranial alternating current stimulation with waveforms derived from the speech envelope and filtered in the delta and theta frequency bands to alter cortical entrainment in both bands separately. We find that transcranial alternating current stimulation in the theta band but not in the delta band impacts speech comprehension. Moreover, we find that transcranial alternating current stimulation with the theta-band portion of the speech envelope can improve speech-in-noise comprehension beyond sham stimulation. Our results show a distinct contribution of the theta- but not of the delta-band stimulation to the modulation of speech comprehension. In addition, our findings open up a potential avenue of enhancing the comprehension of speech in noise.

Infants Segment Words from Songs-An EEG Study.

Children’s songs are omnipresent and highly attractive stimuli in infants’ input. Previous work suggests that infants process linguistic–phonetic information from simplified sung melodies. The present study investigated whether infants learn words from ecologically valid children’s songs. Testing 40 Dutch-learning 10-month-olds in a familiarization-then-test electroencephalography (EEG) paradigm, this study asked whether infants can segment repeated target words embedded in songs during familiarization and subsequently recognize those words in continuous speech in the test phase. To replicate previous speech work and compare segmentation across modalities, infants participated in both song and speech sessions. Results showed a positive event-related potential (ERP) familiarity effect to the final compared to the first target occurrences during both song and speech familiarization. No evidence was found for word recognition in the test phase following either song or speech. Comparisons across the stimuli of the present and a comparable previous study suggested that acoustic prominence and speech rate may have contributed to the polarity of the ERP familiarity effect and its absence in the test phase. Overall, the present study provides evidence that 10-month-old infants can segment words embedded in songs, and it raises questions about the acoustic and other factors that enable or hinder infant word segmentation from songs and speech.

КРИТЕРИИ ЛИТЕРАТУРНОГО РАЗВИТИЯ УЧАЩИХСЯ

Introduction. Qualitative changes in the perception of fiction by schoolchildren of different ages pose the task of methodologists to define the concept of "literary development" and its criteria, which to a large extent should determine the direction and methods of studying artistic works. The methods. Definition of the concept of "literary development" and its criteria, which to a large extent should determine the direction and methods of studying artistic works. Results. Need form validation that would test both knowledge and skills, and yet would contain clear criteria for assessing knowledge and skills of students with different level of training, would be consistent with the concept of school literary education and educational standards in the literature, including "Requirements to level of preparation of students". The main school should form an understanding of the specific laws of literature and the nature of its impact on the reader. In grades 5–9, there is a "systematic accumulation of information and ideas related to the generic, genre and stylistic specifics of literature". A graduate of a basic school should become a reader capable of "artistic perception, their own reflections, experiences, associations". The level of literary development of schoolchildren is closely related to their philological abilities, age and individual characteristics, and the effectiveness of educational activities. The most important quality of the reader – the need to Express a feeling, idea, thought in the word, "germination" words in visual, auditory, and other associations, emotional sensitivity to the word, intonation and style of speech, a holistic attitude to the literary work, a General look at its architecture, the conceptual perception of the composition. Originality. The content of literary education of high school students in accordance with these criteria allows us to speak about their readiness for independent re- search work in literature lessons. Conclusion. The level of literary development of schoolchildren is closely related to their philological abili- ties, age and individual characteristics, and the effectiveness of educational activities. The most important quality of the reader – the need to Express a feeling, idea, thought in the word, "germination" words in visual, auditory, and other associations, emotional sensitivity to the word, intonation and style of speech, a holistic attitude to the literary work, a General look at its architecture, the con- ceptual perception of the composition.

Диалогический метод Л. Витгенштейна как способ развития критического мышления

The research is devoted to the analysis of the positive possibilities of L. Wittgenstein’s dialogical method for the development of critical thinking. We define the role and functions of dialogue in L. Wittgenstein’s philosophy, reveal the critical orientation and didactic potential of his dialogical “grammar”. L. Wittgenstein’s discourse is compared with the philosophizing of Socrates, the similarities and differences in the approaches of both thinkers are revealed. Wittgenstein’s attitude to analyze philosophical problems by comparing different models of language games is used in research as an effective methodological principle. It is explained that the regulatory aspect of L. Wittgenstein’s philosophical grammar makes it possible to clarify the mechanism of the origin and functioning of human thinking. It is shown that L. Wittgenstein was able to develop a special model of understanding based on dialogue, interpersonal agreement regarding the meaning of the words and expressions used. It is revealed that participation in philosophical dialogue, according to L. Wittgenstein, presupposes the ability and readiness of individuals to critically assess their beliefs and be guided in behavior by reasonable arguments. It is emphasized that L. Wittgenstein’s style of thinking is aimed at developing not only critical, but also creative think-ing. The scientific novelty of the research lies in substantiating the pedagogical significance of L. Wittgenstein’s dialogical method, aimed at educating a critically thinking person. As a result, it is concluded that dialogue provides communicative consent due to the correct use of words in speech. L. Wittgenstein’s method excludes the possibility of achieving an unambiguous, universal definition of the meaning of a word, assumes a description of various cases of its use in the context of language games. Through dialogue, L. Wittgenstein in his later works instills in the reader the ability to constructively interact with another point of view, forms a willingness to discover and create new things, teaches how to overcome the dogmatic view of the world.

On Chinese Grammar in the Perspective of History —— A Review of &amp;lt;i&amp;gt;History of Chinese Grammar&amp;lt;/i&amp;gt; by Wang Li

Wang Li pioneered the study of history of Chinese grammar. History of Chinese Grammar by him is the first general history of Chinese grammar in China. History of Chinese Grammar has made a comprehensive and detailed description and analysis of the problems such as the attribution of parts of speech, the usage, meaning and evolution of words, the emergence and development of syntactical structure, word-formation, and so on. Moreover, the analysis of the historical evolution of Chinese reflects the ideas and methods of grammaticalization theory in modern linguistics, which pays attention to observe the critical environment and the syntactic markers of grammatical evolution. The historical perspective of this book and the view of systematicness and graduality needed in the study of grammar also have a profound impact on later researchers. Limited to the level of research at that time, this book inevitably has some views that need to be further discussed and revised, but the review of it is beneficial to the in-depth study of Chinese historical grammar.