The Harlem Renaissance and its Effect on African American Literature Research Paper

The Harlem Renaissance and its Effect on African American Literature - Research Paper Example Its flame continues to burn today through the writings of contemporary African American authors. It has been argued that the Harlem Renaissance was short-lived and without much effect on literature black or white. However, to say this and limit its impact to a short period in the 1920s is shortsighted, as the early writing of such authors as W.E.B. DuBois clearly â€Å"manifested an awareness of the possibilities of a black aesthetic still in development today...It might even be that its effects were still being strongly felt, and thus that it was still figuratively alive, as late as 1970.†2 The complex nature of the literary movement which we identify with the European Renaissance is very much a continuing project. Clearly the literature of the period had roots firmly planted in the African experience of writers, most of whom were descendents of slaves. While some sought to incorporate slavery into their work, others such as Alain Locke in his 1926 book, The New Negro: An Interpretation sought to promote black authors as legitimate representatives of an expanding African-American culture. â€Å"Central to the development of this racial awakening is a new internationalism which Locke describes as primarily an effort to recapture contact with the scattered peoples of African derivation.† 3 While African roots of blacks in this period played an intrinsic role in life and literary development of blacks, the Renaissance had a surprising reciprocal effect on African writers such as Peter Abrahams as noted in his comments upon reading DuBois’s The Souls of Black Folks. â€Å"Du Bois...might have been writing about my land and people. The mood and feeling he described were native to me....[he] had given me a key to the understanding of the world. The Negro is not free.†4 A note here should explain that DuBois in his writing chose to explore

A Research and Analysis of Returns on the Viability For the Hobbits Assignment

A Research and Analysis of Returns on the Viability For the Hobbits Choice Restaurant - Assignment Example Survey Questions 1. Do you eat at this type of restaurant at least once every two weeks? 2. How many total dollars do you spend per month in restaurants (for your meals only)? 3. How likely would it be for you to patronize this restaurant (new upscale restaurant)? 4. What would you expect an average evening meal entree item alone to be priced? 5. Including children under 18 living with you, what is your family size? 6. To which type of radio programming do you most often listen? 7. Would you describe yourself as a viewer of TV local news? 8. Which newscast do you watch most frequently? 9. Do you read the newspaper? 10. Which section of the local newspaper would you say you read most frequently? 11. Do you subscribe to City Magazine? 12. Prefer Waterfront View 13. Prefer Drive Less than 30 Minutes 14. Prefer Formal Waitstaff Wearing Tuxedos 15. Prefer Unusual Desserts 16. Prefer Large Variety of Entrees 17. Prefer Unusual Entrees 18. Prefer Simple Decor 19. Prefer Elegant Decor 20. Prefer String Quartet 21. Prefer Jazz Combo 22. Year Born 23. What is your highest level of education? 24. What is your marital status? 25. Including children under 18 living with you, what is your family size? 26. Please check the letter that includes the Zip Code in which you live (coded by letter). 27. Which of the following categories best describes your before tax household income? 28. What is your gender? 29. Probable Patron of Hobbit's Choice? 30. Recoded income to $1,000s using midpoints of questionnaire ranges 31. State age

Higher Quality Input Phrase To Driven Reverse Dictionary

Higher Quality Input Phrase To Driven Reverse Dictionary Implementing a Higher Quality Input Phrase To Driven Reverse Dictionary E.Kamalanathan  and C.Sunitha Ram ABSTRACT Implementing a higher quality input phrase to driven reverse wordbook. In contrast to a conventional forward wordbook, that map from word to their definitions, a reverse wordbook takes a user input phrase describing the specified construct, and returns a group of candidate words that satisfy the input phrase. This work has important application not just for the final public, notably those that work closely with words, however conjointly within the general field of abstract search. The current a group of algorithms and therefore the results of a group of experiments showing the retrieval accuracy and therefore the runtime latency performance is implementation. The experimental results show that, approach will offer important enhancements in performance scale while not sacrificing the standard of the result. Experiments scrutiny the standard of approach to it of presently on the market reverse dictionaries show that the approach will offer considerably higher quality over either of the opposite presently on the market implementations. Index Terms : Dictionaries, thesauruses, search process, web-based services. . INTRODUCTION A Report work on creating a reverse dictionary, As against a regular (forward) wordbook that maps words to their definitions, a WD performs the converse mapping, i.e., given a phrase describing the required conception, it provides words whose definitions match the entered definition phrase. It’s relevant to language understanding. The approach has a number of the characteristics expected from a strong language understanding system. Firstly, learning solely depends on unannoted text information, which is abundant and contain the individual bias of an observer. Secondly, the approach is predicated on all-purpose resources (Brill’s PoS Tagger, WordNet [7]), and also the performance is studied below negative (hence additional realistic) assumptions, e.g., that the tagger is trained on a regular dataset with doubtless totally different properties from the documents to be clustered. Similarly, the approach studies the potential advantages of victimization all potential senses (and hypernyms) from WordNet, in an endeavor to defer (or avoid altogether) the necessity for Word Sense Disambiguation (WSD), and also the connected pitfalls of a WSD tool which can be biased towards a particular domain or language vogue BACKGROUND WORK Natural Language Processing: Natural Language Processing (NLP) [6] is a large field which encompasses a lot of categories that are related to this thesis. Specifically NLP is the process of computationally extracting meaningful information of natural languages. In other words: the ability for a computer to interpret the expressive power of natural language. Subcategories of NLP which are relevant for this thesis are presented below. WordNet: WordNet [7], [2]is a large lexical database containing the words of the English language. It resembles the traits of a thesaurus in that it structures words that have similar meaning together. WordNet is something more, since it also specifies different connections for each of the senses of a given word. These connections place words that are semantically related close to one another in a network. WordNet also displays some quality of a dictionary, since it describes the definition of words and their corresponding part-of-speech. Synonym relation is the main connection between words, which means that words which are conceptually equivalent, and thus interchangeable in most contexts, are grouped together. These groupings are called synsets and consist of a definition and relations to other synsets. A word can be part of more than one synset, since it can bear more than one meaning. WordNet has a total of 117 000 synsets, which are linked together. Not all synsets have a distinct path to another synset. This is the case, since the data structure in WordNet is split into four different groups; nouns, verbs, adjectives and adverbs (since they follow different rules of grammar). Thus it is not possible to compare words in different groups, unless all groups are linked together with a common entity. There are some exceptions which links synsets cross part-of-speech in WordNet, but these are rare. It is not always possible to find a relation between two words within a group, since each group are made of different ba se types. The relations that connect the synsets within the different groups vary based on the type of the synsets. Application Programming Interface Several Application Programming Interfaces (API) exists for WordNet. These allow easy access to the platform and often additional functionality. As an example of this the Java WordNet Library [8] (JWNL) can be mentioned. This allows for access to the WordNet Library files. PoS Tagging PoS tags[8] are assigned to the corpus using Brill’s PoS tagger. As PoS tagging require the words to be in their original order this is done before any other modifications on the corpora. Part-of-speech (POS) tagging is the field which is concerned with analysing a text and assigning different grammatical roles to each entity. These roles are based on the definition of the particular word and the context in which it is written. Words that are in close proximity of each other often affect and assign meaning to each other. The POS taggers job is to assign grammatical roles such as nouns, verbs, adjectives, adverbs, etc. based upon these relations. The tagging of POS is important in information retrieval in general text processing. This is the case since natural languages contain a lot of ambiguity, which can make distinguishing words/terms difficult. There are two main schools when tagging POS. These are rule-based and stochastic. Examples of the two are Brill’s tagger and Stanford POS tagger, respectively. Rule-based taggers work by applying the most used POS for a given word. Predefined/lexical rules are then applied to the structure for error analysis. Errors are corrected until a satisfying threshold is reached. Stochastic taggers use a trained corpus to determine the POS of a given word. Stopword Removal Stopwords, i.e. words thought not to convey any meaning, are removed from the text. The approach taken in this work does not compile a static list of stopwords, as usually done. Instead PoS information is browbeaten and all tokens that are not nouns, verbs or adjectives are removed. Stop words are words which occur often in text and speech. They do not tell much about the content they are wrapped in, but helps humans understand and interpret the residue of the content. These terms are so generic that they do not mean anything by themselves. In the context of text processing they are basically just empty words, which only takes up space, increases computational time and affects the similarity measure in a way which is not relevant. This can result in false positives. Table: 1 List of Stop words This class includes only one method; which runs through a list of words and removes all occurrences of words specified in a file. A text file, which specifies the stop words, is loaded into the program. This file is called â€Å"stop-words.txt† and is located at the home directory of the program. The text file can be edited such that it only contains the desired stop words. A representation of the stop words used in the text file can be found in table 1. After the list of stop words has been loaded, it is compared to the words in the given list. If a match is found the given word in the list is removed. A list, exposed from stop words, is then returned. Stemming Words with the same meaning appear in various morphological forms. To capture their similarity they are normalised into a common root-form, the stem. The morphology function provided with WordNet is used for stemming, because it only yields stems that are contained in the WordNet dictionary. This class contains five methods; one for converting a list of words into a string, two for stemming a list of words and two for handling the access to WordNet through the JWNL API[8]. The first method listToString() takes an ArrayList of strings and concatenate these into a string representation. The second method stringStemmer() takes an ArrayList of strings and iterates through each word, stemming these by calling the private method wordStemmer(). This method checks if the JWNL API has been loaded and starts stemming by looking up the lemma of a word in WordNet. Before this is done, each word starting with an uppercase letter is checked to see if it can be used as a noun. If the word can be used as a noun, it does not qualify for stemming and is returned in its original form. The lemma lookup is done by using a morphological processor, which is provided by WordNet. This morphs the word into its lemma, after which the word is checked for a match in the database of WordNet. This is done by running through all the specified POS databases defined in WordNet. If a match is found, the lemma of the word is returned, otherwise the original word is simply returned. Lastly, the methods allowing access to WordNet initializes the JWNL API and shuts it down, respectively. The initializer() method gets an instance of the dictionary files and loads the morphological processor. If this method is not called, the program is not able to access the WordNet files. The method close() closes the dictionary files and shuts down the JWNL API. This method is not used in the program, since it would not make sense to uninstall the dictionary once it has been installed. It would only increase the total execution time. It has been implemented for good measure, should it be needed. Stemming[5] is the process of reducing an inflected or derived word to its base form. In other words all morphological deviations of a word are reduced to the same form, which makes comparison easier. The stemmed word is not necessarily returned to its morphological root, but a mutual stem. The morphological deviations of a word have different suffixes, but in essence describe the same. These different variants can therefore be merged into a distinct representative form. Thus a comparison of stemmed words turns up a higher relation for equivalent words. In addition storing becomes more effective. Words like observes, observed, observation, observationally should all be reduced to a mutual stem such as observe. PROPOSED SYSTEM Reverse dictionaries approach can provide significantly higher quality. The proposed a set of methods for building and querying a reverse dictionary. Reverse dictionary system is based on the notion that a phrase that conceptually describes a word should resemble the word’s actual definition, if not matching the exact words, then at least conceptually similar. Consider, for example, the following concept phrase: â€Å"talks a lot, but without much substance.† Based on such a phrase, a reverse dictionary should return words such as â€Å"gabby,† â€Å"chatty,† and â€Å"garrulous.† Forward mapping (standard dictionary): Intuitively, a forward mapping designates all the senses for a particular word phrase. This is expressed in terms of a forward map set (FMS). The FMS of a (word) phrase W, designated by F(W) is the set of (sense) phrases {S1, S2, . . . Sn } such that for each Sj à Ã¢â‚¬Å¾ F(Wi), (Wi à ¯Ã†â€™Ã‚   Sj) à Ã¢â‚¬Å¾ D. For example, suppose that the term â€Å"jovial† is associated with various meanings, including â€Å"showing high-spirited merriment† and â€Å"pertaining† to the god Jove, or Jupiter.† Here, F (jovial) would contain both of these phrases. Reverse mapping (reverse dictionary): Reverse mapping applies to terms and is expressed as a reverse map set (RMS). The RMS of t, denoted R(t), is a set of phrases { P1, P2, Pi,†¦Ã¢â‚¬ ¦, Pm}, such that à ¯Ã¢â€š ¬Ã‚ ¢Pi à ¯Ã¢â€š ¬Ã‚  Ãƒ ¯Ã†â€™Ã… ½ R(t), t à ¯Ã†â€™Ã… ½ F(Pi). Intuitively, the reverse map set of a term t consists of all the (word) phrases in whose definition t appears. The find candidate words phase consists of two key sub steps: 1) Build the RMS. 2) Query the RMS. A. COMPONENTS The first preprocessing step is to PoS tag the corpus. The PoS tagger relies on the text structure and morphological differences to determine the appropriate part-of-speech. For this reason, if it is required, PoS tagging is the first step to be carried out. After this, stopword removal is performed, followed by stemming. This order is chosen to reduce the amount of words to be stemmed. The stemmed words are then looked up in WordNet and their corresponding synonyms and hypernyms are added to the bag-of-words. Once the document vectors are completed in this way, the frequency of each word across the corpus can be counted and every word occurring less often than the pre specified threshold is pruned. Stemming, stopword removal and pruning all aim to improve clustering quality by removing noise, i.e. meaningless data. They all lead to a reduction in the number of dimensions in the term-space. Weighting is concerned with the estimation of the importance of individual terms. All of these have been used extensively and are considered the baseline for comparison in this work. However, the two techniques under investigation both add data to the representation. a PoS tagging adds syntactic information and WordNet is used to add synonyms and hypernyms. B. BUILDING REVERSE MAPPING SETS The input phrases sentence is split into words and then removes the stop words ( a, be, person, some, someone, too, very, who, the, in, of, and, to) if any appears, and find other words, which is having same meaning from the forward dictionary data sources. Given the large size of dictionaries, creating such mappings on the fly is infeasible. Thus, Procreate these Rs for every relevant term in the dictionary. This is a one time, offline event; once these mappings exist, we can use them for ongoing lookup. Thus, the cost of creating the corpus has no effect on runtime performance. For an input dictionary D, we create R mappings for all terms appearing in the sense phrases (definitions) in D. C. RMS QUERY This module responds to user input phrases. Upon receiving such an input phrase, we query the R indexes already present in the database to find candidate words whose definitions have any similarity to the input phrase. Upon receiving an input phrase U, we process U using a stepwise refinement approach. We start off by extracting the core terms from U, and searching for the candidate words (Ws) whose definitions contain these core terms exactly. (Note that we tune these terms slightly to increase the probability of generating Ws) If this first step does not generate a sufficient number of output Ws, defined by a tuneable input parameter ÃŽ ±, which represents the minimum number of word phrases needed to halt processing and return output. D. CANDIDATE WORD RANKING In this module sorts a set of output Ws in order of decreasing similarity to U, based on the semantic similarity. To build such a ranking, we need to be able to assign a similarity measure for each (S,U) pair, where U is the user input phrase and S is a definition for some W in the candidate word set O. Wn and Palmer’s Conceptual similarity, WUP Similarity between concepts a and b in a hierarchy, Here depth(lso(a,b)) is the global depth of the lowest super ordinate of a and b and len(a,b) is the length of the path between the nodes a and b in the hierarchy SOLUTION ARCHITECTURE We now describe our implementation architecture, with particular attention to design for scalability. The Reverse Dictionary Application (RDA) is a software module that takes a user phrase (U) as input, and returns a set of conceptually related words as output. Figure 1. Architecture of reverse dictionary. The user input phrase, split the word from the input phrase, perform the stemming. Predict every relevant term in the forward dictionary data source. In the generate query. input phrase, minimum and maximum output thresholds as input, then removal of level 1 stop words ( a, be, person, some, someone, too, very, who, the, in, of, and, to) and perform stemming, generate the query.Execute the query find the set of candidate words. Finally sort the result based on the semantic similarity EXPERIMENTAL ENVIRONMENT Our experimental environment consisted of two 2.2 GHz dual-core CPU, 2 GB RAM servers running Windows XP pro and above. On one server, we installed our implementation our algorithms (written in Java). The other server housed is wordnet dictionary data. CONCLUSION We describe the many challenges inherent in building a reverse lexicon, and map drawback to the well-known abstract similarity problem. We tend to propose a collection of strategies for building and querying a reverse lexicon, and describe a collection of experiments that show the standard of our results, similarly because the runtime performance underneath load. Our experimental results show that our approach will give important enhancements in performance scale while not sacrificing answer quality. The higher quality input phrase to driven reverse dictionary. Unlike a traditional forward dictionary, which maps from words to their definitions, a reverse dictionary takes a user input phrase describing the desired concept, it reduce the well-known conceptual similarity problem. The set of methods building a reverse mapping querying a reverse dictionary and it produces the higher quality of results. This approach can provide significant improvements in performance scale without sacrificing solution quality but for larger query it is fairly slow. REFERENCES T. Dao and T. Simpson, â€Å"Measuring Similarity between Sentences,† 2009. http://opensvn.csie.org/WordNetDotNet/trunk/ Projects/ T. Hofmann, â€Å"Probabilistic Latent Semantic Indexing,† SIGIR ’99: Proc. 22nd Ann. Int’l ACM SIGIR Conf. Research and Development in Information Retrieval, pp. 50-57, 1999. D. Lin, â€Å"An Information-Theoretic Definition of Similarity,† Proc .Int’l Conf. Machine Learning, 1998. M. Porter, â€Å"The Porter Stemming Algorithm,†http://tartarus.org/martin/PorterStemmer/ , 2009. G. Miller, C. Fellbaum, R. Tengi, P. Wakefield, and H. Langone, â€Å"Wordnet Lexical Database,† http://wordnet.princeton.edu/wordnet/download/, 2009. P. Resnik, â€Å"Semantic Similarity in a Taxonomy: An Information-Based Measure and Its Application to Problems of Ambiguity in Natural Language,† J. Artificial Intelligence Research, vol. 11, pp. 95- 130, 1999. AUTHORS PROFILE E Kamalanathan is pursuing his Master of Engineering (part time ) from Department of Computer Science and Engineering, SCSVMV University Enathur,

Othello, The Moor of Venice Essay examples -- Shakespearean Literatur

Othello, the Moor of Venice is one of the major tragedies written by William Shakespeare that follows the main character, Othello through his trials and tribulations. Othello, the Moor of Venice is similar to William Shakespeare’s other tragedies and follows a set of specific rules of drama. The requirements include, following the definition of a tragedy, definition of tragic hero, containing a reversal of fortune, and a descent from happiness. William Shakespeare fulfills Aristotle’s requirements in this famous play. Aristotle the famous philosopher outlined several requirements in which a play or piece of drama is to follow. The first rule that is met in Shakespeare’s play is that Othello is considered tragic hero, which every tragedy must contain. According to Aristotle, the tragic hero must be a man in a position of power who is a good person and makes a mistake during the timeline of the play due to a tragic flaw. Othello’s major flaw can be seen as jealousy: â€Å"Othello has often been described as a tragedy of character, as the play’s protagonist swiftly descends into a rage of jealousy that completely destroys his life†("Othello"). Othello is shown he is a good man within the first few scenes of the play: â€Å"She wished she had not heard it; yet she wished That heaven had made her such a man† (1.3.162-163). This line in Act I spoken by Othello, is an indication that he is a good person although it may appear that he has stolen Desdemona away from her father. Othello speaks that although he has taken Desdemona as his wife without Brabantio’s consent, he is a good person for stating his reasons for his actions as well as standing his ground. After Othello’s marriage to Desdemona, the conflict is started when Iago insinuates t... ... Works Cited Catherine Bates, "Weaving and Writing in Othello," in Shakespeare Survey, Vol. 46, edited by Stanley Wells, Cambridge University Press, 1994, pp. 51–60. Dreher, Diane. "Shakespeare's Cordelia and the power of character." World and I Apr. 1998: 287+. Fine Arts and Music Collection. Web. 11 Dec. 2011. Newton, K.M. "Othello: Overview." Reference Guide to English Literature. Ed. D. L. Kirkpatrick. 2nd ed. Chicago: St. James Press, 1991. Literature Resource Center. Web. 11 Dec. 2011. "Othello." Shakespeare for Students: Critical Interpretations of Shakespeare's Plays and Poetry. Ed. Anne Marie Hacht. 2nd ed. Vol. 2. Detroit: Gale, 2007. 649-687. Gale Virtual Reference Library. Web. 11 Dec. 2011. Shakespeare, William. Othello, the Moor of Venice. Literature. Boston: Bedford/St. Martins, 2009. 368-455. Print. Othello, The Moor of Venice Essay examples -- Shakespearean Literatur Othello, the Moor of Venice is one of the major tragedies written by William Shakespeare that follows the main character, Othello through his trials and tribulations. Othello, the Moor of Venice is similar to William Shakespeare’s other tragedies and follows a set of specific rules of drama. The requirements include, following the definition of a tragedy, definition of tragic hero, containing a reversal of fortune, and a descent from happiness. William Shakespeare fulfills Aristotle’s requirements in this famous play. Aristotle the famous philosopher outlined several requirements in which a play or piece of drama is to follow. The first rule that is met in Shakespeare’s play is that Othello is considered tragic hero, which every tragedy must contain. According to Aristotle, the tragic hero must be a man in a position of power who is a good person and makes a mistake during the timeline of the play due to a tragic flaw. Othello’s major flaw can be seen as jealousy: â€Å"Othello has often been described as a tragedy of character, as the play’s protagonist swiftly descends into a rage of jealousy that completely destroys his life†("Othello"). Othello is shown he is a good man within the first few scenes of the play: â€Å"She wished she had not heard it; yet she wished That heaven had made her such a man† (1.3.162-163). This line in Act I spoken by Othello, is an indication that he is a good person although it may appear that he has stolen Desdemona away from her father. Othello speaks that although he has taken Desdemona as his wife without Brabantio’s consent, he is a good person for stating his reasons for his actions as well as standing his ground. After Othello’s marriage to Desdemona, the conflict is started when Iago insinuates t... ... Works Cited Catherine Bates, "Weaving and Writing in Othello," in Shakespeare Survey, Vol. 46, edited by Stanley Wells, Cambridge University Press, 1994, pp. 51–60. Dreher, Diane. "Shakespeare's Cordelia and the power of character." World and I Apr. 1998: 287+. Fine Arts and Music Collection. Web. 11 Dec. 2011. Newton, K.M. "Othello: Overview." Reference Guide to English Literature. Ed. D. L. Kirkpatrick. 2nd ed. Chicago: St. James Press, 1991. Literature Resource Center. Web. 11 Dec. 2011. "Othello." Shakespeare for Students: Critical Interpretations of Shakespeare's Plays and Poetry. Ed. Anne Marie Hacht. 2nd ed. Vol. 2. Detroit: Gale, 2007. 649-687. Gale Virtual Reference Library. Web. 11 Dec. 2011. Shakespeare, William. Othello, the Moor of Venice. Literature. Boston: Bedford/St. Martins, 2009. 368-455. Print.

A Crazy Love Story Essay

Domestic violence in today’s society has become common and normalized in the United States. When people think of domestic violence, they go straight for physical violence against women. But according to â€Å"domesticviolence.org;† Domestic violence and emotional abuse are behaviors used by one person in a relationship to control the other. Partners may be married or not married; heterosexual, gay, or lesbian; living together, separated or dating. The documentary Crazy Love is such a great example because it is a story of two lovers named â€Å"Burt Pugach† and â€Å"Linda Riss,† who are a perfect example of domestic violence. Burt became enraged that Linda would leave him even though he was still married. In a very vicious manner, Burt hired three black males to go to Linda’s house and to throw acid on her face. Linda received permanent blindness in both of her eyes and a very scarred face. Burt was in prison for 14 years while he still tried to be in contact with the woman he hurt so much. He was released from prison after good behavior and because Linda agreed for Burt to support her. It seems that partners even though they are in love, find themselves in abusive relationships. Many abusive relationships are due to wanting to have control of the other person. According to â€Å"domesticviolencestatistics.org;† nearly 1 in 5 teenage girls who have been in a relationship said a boyfriend threatened violence or self-harm if presented a breakup. Domestic violence and abuse is sometimes learned through watching someone being abused. A reason why Burt turned to domestic violence might be because his mother abused him as a young boy. His mother gave Burt severe beatings and they would not stop until his father came home. It gets to a point where it is normal for that person to get hit or be abused in some way. People who were abused or saw someone being abused do not want to be the victim anymore and they would rather be the aggressor because they are familiar with that particular relationship dynamic. (Kathryn Patricelli) An example of a celebrity that had abuse in his life when he was younger and then went on to participate in domestic violence would be Chris Brown. In Chris Brown’s childhood his parents were divorced when he was just six years old. Chris Brown saw his mother get abused by his stepfather. Since Chris Brown was so young when it happened it became part of everyday life for him. Now Chris Brown is notorious for hitting his girlfriend at the time Rihanna. Rihanna, just like Linda went back to the person that abused them. Love is something that can be defined a million different ways because the word â€Å"love† has different meanings to different people. According to Dictionary.com, love is defined as an intense feeling of deep affection. Love is patient and kind; love does not envy or boast; it is not arrogant or rude. It does not insist on its own way; it is not irritable or resentful; it does not rejoice at wrongdoing, but rejoices with the truth. Love bears all things, believes all things, hopes all things, endures all things. Love never ends. (1 Corinthians 13:4-8) This bible quote is very strong because it describes what love is really supposed to be about. According to the verse love is kind. But not all love is kind, like Linda and Burt’s relationship. Love can also bring more characteristics into the definition. Some other words that go along with the word â€Å"love† could be loyalty, respect, honesty, and compassion. As hard as it may seem, Burt does show love towards Linda Riss when he would always see if Linda was all right. He then becomes obsessed with her. Burt brought Linda to breakfast then drove her to work, then picked her up at lunchtime to bring her out to eat, and then at dinnertime Burt would pick her up from work and go out for dinner. Burt said: â€Å"I was making $60,000+ a year when everybody else was making $4,000 a year.† Burt owned a nightclub and Linda was living a life of luxury. â€Å"Crazy† is a term that could have different meaning to people also. According to Dictionary.com, crazy means mentally deranged, and manifested in a wild or aggressive way. Society also has a different definition of the word â€Å"crazy.† Some phrases could be â€Å"Wow. That was so crazy,† meaning that something really spectacular happened. When somebody would commit a crime of passion they are considered crazy. The person would have a brief episode of craziness. Linda and Burt both show their â€Å"craziness† during the film. Burt is a different kind of crazy than Linda. Burt is a man who likes to control and spoil his spouse. He is crazy to even think about harming the one person who he is completely obsessed with and harming her for the rest of her life. Linda is crazy because she stayed with a man that abused her and hurt her. In today’s society domestic violence still exists and is almost common in the United States. More households are having some type of domestic abuse. Domestic abuse has been around for many years and probably will still continue for many years to come. Some intimate relationships turn violent and women are left to figure out what to do. Some women go straight out of the relationship and other women like Linda Riss stay in the relationship and continue getting abused. Annotated Bibliography Hetling, Andrea, and Haiyan Zhang. â€Å"Domestic Violence, Poverty, And SocialServices: Does Location Matter? Domestic Violence, Poverty, And Social Services: Does Location Matter? Domestic Violence, Poverty, And Social Services.† Social Science Quarterly (Blackwell Publishing Limited) 91.5 (2010): 1144-1163. Academic Search Complete. Web. 1 Dec. 2012. Works Cited Patricelli, Kathryn. â€Å"Mental Health Care, Inc.† Mental Health Care, Inc. Mental Health Care, Inc., n.d. Web. 01 Dec. 2012. . â€Å"Definition – Domestic Violence.† Definition – Domestic Violence. N.p., 2009. Web. 01 Dec. 2012. .

Irish and Chinese Experience in America Essay

The end of the civil war and the beginning of the industrial revolution started an increase of immigration into the United States because of a need for low paid workers. Immigrants from around the world fled to America taking valuable jobs away from American citizens. Immigrants who came to the United States sought out every job known to man. Anything from sweeping floors to craftsman was available to the immigrants. From 1880-1920 the population of the United States ascended from 50,155,783 to 105,710,620. 1 An increase of approximately 55 million people marked the start of the industrial revolution. The population of immigrants that came to the United States in the time period of 1880-1920 was about 15,000,000. 2 Fifteen million immigrants just in the period of forty years came to the United States and all in need of a job. Two groups in particular, the Irish and the Chinese. Both The irish and the chinese have many similarities and differences in their experience in america. Some of these are shared yet others are sole experiences of one group. The origins of Chinese migration started after Senator Thomas hart Benton of Missouri proclaimed movement towards Asia as America’s Manifest Destiny. Manifest destiny was the notion that the â€Å"white† race was destined to expand and rule the earth. Manifest destiny contributed as the primary reason for the largest acquisition of U. S. territory. As americans started to search for new lands in Asia, Asians Immigrants set there eyes on America. After the Annexation of california, Aaron H. Palmer proposed chinese laborers to be imported to build transcontinental railroad and also to cultivate the lands of california. Around 1849, Chinese migrants began arriving in America. The chinese migrated to the states for their own reasons which were getting away from the intense conflicts in china caused by british opium wars. Many migrants were also fleeing from the turmoil of peasant rebellions such as the Taiping Rebellion. Hard economical conditions were also a reason why chinese Migrants sleeked survival in America. Chinese immigrants migrated to america voluntarily as free labor. They wanted to earn money and go back to their native land. The Chinese were sojourners while the Irish were settlers. Most of the chinese migrants were married with wives in china and were mostly illiterate. While the Irish immigrated to America with Families, as settlers. While the chinese fled to America for a better future, the Irish migrated to America due to â€Å"starvation†. Irish, came in massive numbers due to a struggling economy in result of the potato famine. in the mid 1800s the Irish people suffered a severe impact when the Potato famine struck. It left many Irish poor beyond poverty. With the drastic loss of their main source of economy the Irish people were left no other choice then to come to America. The Irish described their migration to america in terms such as â€Å"exiles† or â€Å"homeless†. By Takaki’s accounts the Irish felt as if they were driven away from their homeland by â€Å"English Tyranny†. The english were seen as â€Å"savage tyrants† The Irish felt they had to go to America, and that it was a necessity for them. Another factor that contributed in the Irish migration was the idea of religious freedom. The Irish Immigrants were predominately catholic, this makes them the first major non-protestant group to enter the US, immediately causing Americans to perceive them as a threat. The chinese mostly came to america with the intent of going back to their families, WHile the Irish immigrated with their families with the intent of staying in America. The background of why both groups parallel in aspects of better future and hard economies, and resentment of british rule. Both the chinese and Irish were Transnational, living in both countries at the same time. Both groups sent letter homes, the chinese used family and villager networks to send letters home. Irish sent letters home describing the country that had no tyranny, with no intentions of going back. The chinese on the other hand ultimate goal was to save enough money to go back and build a better life for family back home. The flow direction of both groups were different. The chinese set out for the â€Å"Gold mountain† while the Irish fled english oppression to cross the atlantic to America. The chinese migrated far less in numbers compared to the Irish. The chinese migrated in hundreds of thousands while the Irish migrated in millions. Between 1815 and 1845 one million Irish came to America. By 1850, the Irish made up a quarter of the population in Boston, Massachusetts; New York City; Philadelphia, Pennsylvania; and Baltimore, Maryland. In addition, Irish populations were prevalent among American mining communities. By 1870, there were 63,000 chinese in the united states, 77 percent were living in california and elsewhere in the West,southwest, New England and the south. Both groups struggled effectively to get incorporated in the American Economy. The chinese worked hard in the californian mines, railroads and the fields. At first the Chinese were welcomed in california for their hard work and low wages. The chinese workers brought a lot profit to their employers. Due to their low wage, long hours, and no need to provided services such as lodging. The owners profited and preferred the chinese labor over americans. The fear of chinese gaining power to vote and chinese boys going to the same schools as the whites, several legislation passed to prevent them from doing so. In 1852, the california legislature passed a law that would tax foreign miners, who did not desire to become a citizen. Even if they wanted to chinese could not have become citizens, because of the 1790 Naturalization Law that reserved naturalized citizenship for â€Å"whites. † This Federal law limited naturalization to immigrants who were â€Å"free white persons† of â€Å"good moral character†. It left out American Indians, indentured servants, slaves, free blacks, and Asians. The chinese miners were taxed 3 dollars monthly, the sate profited 5 millions from the chinese by the 1870. The early economic incorporation of the Irish started from the lowest step of the ladder. Irish immigrants did not usually posses any real skilled forms of labor, So the work which they received was very menial. They worked the jobs that American citizens left behind, like cleaning and excavating, mining, construction, roads, canals,railroads. (Basically jobs that were surrounded by filth) The living and working conditions of both immigrants were extremely dangerous. Both groups worked on building Railroads. In 1865, fifty chinese workers were hired by the central pacific railroad to help lay tracks for the transcontinental line. The number of chinese workers increased to 12,000 within 2 years. The chinese labor were preferred due to low wages and no cost of board and lodging. The construction of the central pacific Railroad was a chinese achievement. The conditions were harsh and the work was long. The chinese were forced to work through the winter. Many died in the snow slides,in the winter of 1866. Shortly after the chinese went on strike demanding higher wages, and 8 hour work days. The demands were not met and the strikers were starved, and forced back to work.. alike there chinese counterparts, the irish workers built thousands of miles of rail lines such as the western and Atlantic railroad from Atlanta to Chattanooga and the Union pacific segment of the transcontinental railroad. Chinese were central to the construction of the central pacific railroad while the Irish were central to the construction of union pacific railroad. The Irish like the Chinese worked long hours. The Irish became Disposable workers. The Irish were assigned to jobs that were to dangerous for â€Å"american’s†. Irish workers had high accident rates. The Irish resist and sung songs for survival and morale. The Irish workers were treated poorly and treated as dogs. The Central Pacific railroad released thousands of chinese workers in 1869, after the completion of the railroad. These workers went to San francisco and were employed by boot, shoes,woolen,cigar and industries. Hundred of chinese also became tenant farmers and sharecroppers. With the passage of Chinese exclusion Act in 1882,the chinese demanded higher wages. Chinese exclusion Act was one of the most significant restrictions on free immigration in U. S. history, prohibiting all immigration of Chinese laborers. Chinese workers continued to be harassed and excluded the chinese from unions and industrial jobs, however the chinese fought against discrimination. Chinese six companies lobbied for civil rights of the chinese people. During the negations for the Burlingame Treaty the Six chinese companies successfully got the US Gov to recognize their right to immigrate to the US. The Chinese had many hurdles in the socio-economical spec term of the united states. In 1900 only 5% of chinese were women. External and cultural factors contributed to low number of female immigration to the US. Chinese tradition and culture restricts movement of women. Women were expected to take care of the house/in laws and was expected to stay at home. It was also expensive to immigrate with wife. It was also a hostage theory so the husband keeps sending money home and eventually returns home. Although women who did migrate were mostly working as prostitutes. By 1870, 61 % of chinese women were prostitutes. Although difficult, but some chinese were able to have families. The fire after the earthquake destroyed all records in San Francisco. People who were already here could now claim they were born here and become citizens. These led to paper son and daughters. Under fourteen amendment granting american citizenship to children of citizens born abroad. This paper method was an important way of entering the US in the 1906, and created a new wave of chinese immigrants to the United States. Gradually the chinese moved from sojourners to settlers. Chinese were building communites, and held bussiness such as laundary’s and shops in china town. The chinese also started to create organizations and communites. For example Tongs were an organization to control contrymen, and their objective was to protect and work with better relationshipes with the Americans. The orginazation also controled opium trade and prostitution. Fongs was also an organizatoin that was created by family and villagers to maintain clubhouses and temples. The fongs also serviced letters home and sent bodies home of the dead. Six chinese companies was also created for educational and health purposes, it also worked for equal rights. These organizatoins were a big part of the chinese community in America, they dictated, control and advocated for the chinese immigrants. The enviroment for The second generation was improved after world war II. Most chinese americans, expecially women were forced into their parents etnic enclave working for their familys or friends bussines. Early Irish Economic incorporation started at the bottom of dual labor market where they had to compete with nonwhite labor. The chinese were hard workers and were hired to when there was shortage of white workers. Crocker hired chinese workers and when whites complained he threaten to fire them. The chinese worker made lots of profits for their employers. Crocker also explained that the chinese workers are elevating whiter workers. While the chinese worked as labores ther whites can be in managment/supervisory postions. The Irish were at the same woorking pool as the chinese and blacks. Irish workers in the Shoe factory created a organization to fight low wages. Knights of Crispin demanded higher wages. An employer replaced his Irish workers with chinese and was praised by the press. The Irish were reffered to as unrully, and were imaged as race of savages. The Irish were also descriminated against and depicted as lacking puntuality. They were viewed the same as blacks. To gain higher status in the social and political areana the Irish used â€Å"white antagonism† to gain political and social status in the american society. The Irish also played the race card to their advantage. They used the white racism strategy in competting with the chinese in california and African Americans in the Northeast. After being depicted as the same level as African americans, The Irish started to point out there supremacy by poining out that they were white. From being outsiders they wanted to be insiders. They did so by claiming they were americans. They claimed they were americans by attacking blacks and posing as insiders. The Irish slowly started to asimilate from forigners to americans. The Democratic party welcomed the Irish, due to their high numbers, as voters, party members, but not office holders before the civil war. By the 1830’s the cathlic Irish stongly identified as democrats. The democratic party emphasised the â€Å"Irish whitness† to sommoth over divisions withing the party. They pointed out that the Irish were white, and thus deserved equal rights. More Irish Women started to migrage due to bad economical situtions. Women migrated to America in hopes of finding a job. Irish women entered domestic service because of room and board incentive because they were mostly single. Maids also got payied higher then a factory worker. Although they worked long hours,These domestic workers were expirencimg american cutlure first hand and was eaiser for them to adopt and settel in the american culture. The second generation of Irish had more economical mobility, were educated. 19 percent of Irish women born in America worked as servants,or laudress compared to 61 percent of the immigent generation. Most of female immigrants were illiterate, but there daughters were educated and took white collar jobes such as teachers, nurses, and secreteries. The second generation Irish had wider acceptance in the society. Political invorment also helped in adoption to the new country. Irish’s democratic invoment gave them a higher edge in the society. In NY, Boston, chicago, and SF Irish political machines fuctioned as Robin Hoods for the the Irish people. Irish amricans took white collar jobs and held important postions within the cities. The Irished used an ethnic strategy based on dominance, by using white supremacy in America. The Irish Dominated in the trade unions/ and held high skilled jobs which created â€Å"wages of Whiteness. † Irish workers continued comapinn to make american labor equal â€Å"white labor†. They started to monopolis better jobs, and excluded African Americans, chinese and japanese. The second generation made goals for their future while still remembered their culture through songs. Chinese and Irish Immirgrants struggled to make their place in the American society. Both Groups had to deal with Racism and discrimination. The settelment and economic socio- political adaption of both groups were drastically different from one another. The Irish were easily incorporated in the political areana because of their voting power. While the Chinese had a harder time because of the early legislation which did not grant chinese citizenships. I feel the Irish had some advantages over the Chinese migrants. Knowledge of the English language being one advantage and Experience in political organization which The Irish had mobilized labor movements against British, this made the Irish more politically savvy. Another factor why the Irish moved up the labor ladder was because they looked like americans and they used that as an advantaged to become the insiders. The chinese chose to live in their own nehiobrhoods which hindered them in adapting to amercan culture. If the chinese were more adaptive then They might of been more accepted by the society. ? ? ? ? ?