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This Chapter Provides a Historical Framework For
Chapter One Introductions 1.0 Background: This chapter provides a historical framework for the study specifically it will provide description of the context of the study and gives short account of history of English language in Sudan. It is also provide a description of the study problem and formulates the question and hypotheses of the study. The significance of the study was shown. The scope and limitation of the study. Finally, the study unfolds the methodology to be adopted for conducting the empirical part of study. 1.1 Context of the Study problem: During the British colonial period of Sudan (1898- 1956). English language was the official language of the state. It was the medium of instruction in the educational institution during that period. It is worth mentioning that most of teachers at that time were native speakers of English and that allowed a wide exposure of English language for Sudanese students. Late after Sudan gained its independence in 1956 Arabic language began gradually to replace English as medium of instruction. Consequently, English language comes to be taught as a foreign language. 1 The current status of this language in the context of Sudan shows that it is declining and losing its significance in the education environment in this country because the purposes of learning this language have been changed. Upon considering its characteristics, English is a language which is rich in what are calls phrasal verbs are the most frequently used types of figurative language in discourse. For Sudanese secondary schools students these guises of language (i.e. phrasal verbs) are difficult to deal with because they are not relevant of the culture of the target language. -
Hunspell – the Free Spelling Checker
Hunspell – The free spelling checker About Hunspell Hunspell is a spell checker and morphological analyzer library and program designed for languages with rich morphology and complex word compounding or character encoding. Hunspell interfaces: Ispell-like terminal interface using Curses library, Ispell pipe interface, OpenOffice.org UNO module. Main features of Hunspell spell checker and morphological analyzer: - Unicode support (affix rules work only with the first 65535 Unicode characters) - Morphological analysis (in custom item and arrangement style) and stemming - Max. 65535 affix classes and twofold affix stripping (for agglutinative languages, like Azeri, Basque, Estonian, Finnish, Hungarian, Turkish, etc.) - Support complex compoundings (for example, Hungarian and German) - Support language specific features (for example, special casing of Azeri and Turkish dotted i, or German sharp s) - Handle conditional affixes, circumfixes, fogemorphemes, forbidden words, pseudoroots and homonyms. - Free software (LGPL, GPL, MPL tri-license) Usage The src/tools dictionary contains ten executables after compiling (or some of them are in the src/win_api): affixcompress: dictionary generation from large (millions of words) vocabularies analyze: example of spell checking, stemming and morphological analysis chmorph: example of automatic morphological generation and conversion example: example of spell checking and suggestion hunspell: main program for spell checking and others (see manual) hunzip: decompressor of hzip format hzip: compressor of -
Building a Treebank for French
Building a treebank for French £ £¥ Anne Abeillé£ , Lionel Clément , Alexandra Kinyon ¥ £ TALaNa, Université Paris 7 University of Pennsylvania 75251 Paris cedex 05 Philadelphia FRANCE USA abeille, clement, [email protected] Abstract Very few gold standard annotated corpora are currently available for French. We present an ongoing project to build a reference treebank for French starting with a tagged newspaper corpus of 1 Million words (Abeillé et al., 1998), (Abeillé and Clément, 1999). Similarly to the Penn TreeBank (Marcus et al., 1993), we distinguish an automatic parsing phase followed by a second phase of systematic manual validation and correction. Similarly to the Prague treebank (Hajicova et al., 1998), we rely on several types of morphosyntactic and syntactic annotations for which we define extensive guidelines. Our goal is to provide a theory neutral, surface oriented, error free treebank for French. Similarly to the Negra project (Brants et al., 1999), we annotate both constituents and functional relations. 1. The tagged corpus pronoun (= him ) or a weak clitic pronoun (= to him or to As reported in (Abeillé and Clément, 1999), we present her), plus can either be a negative adverb (= not any more) the general methodology, the automatic tagging phase, the or a simple adverb (= more). Inflectional morphology also human validation phase and the final state of the tagged has to be annotated since morphological endings are impor- corpus. tant for gathering constituants (based on agreement marks) and also because lots of forms in French are ambiguous 1.1. Methodology with respect to mode, person, number or gender. For exam- 1.1.1. -
Syntactic-Words.Pdf
Yearbook ofmorphology 3 (1990),201-216 Syntactic words and n*"1orphological words, simple and composite Arnold M. Zwicky 1. SYNTAGMATIC UNITS AND PARADIGMATIC UNITS What is the relationship between the simple or elementary objects of grammar, word- like things, and its composite or complex objects, phrase-like things? I focus here on a small piece of this gargantuan topic, having to do specifically with the elementary objects of morphosyntax, rather than with the grammar as a whole: ‘syntactic words’, the syntagmatic units I will call Ws; and ‘morphological words’, the paradigmatic units I will call moremes. The distinction at issue is a familiar one - it is made clearly, though not with this terminology, in careful discussions of the notion of word, such as those in Lyons (1968: sec. 5.4) and Matthews (1974) - but for some reason generative grammarians have for the most part failed to take the distinction seriously, preferring instead to use references to ‘X°’ units as if the small objects of syntax and the large objects of morphology have the same status, in fact, as if they coincided with one another. But they are objects ofquite different character - the fonner are expression tokens, the latter are expression types -and the question of whether they are in some sense coincident with one another is an empirical question, to be decided by considering a wide range of problematic data, not via a terminological or notational stipulation. Indeed, familiar data suggest quite strongly that coincidence is merely the default relationship between -
Compositionality in English Deverbal Compounds
Chapter 3 Compositionality in English deverbal compounds: The role of the head Gianina Iordăchioaia University of Stuttgart Lonneke van der Plas University of Malta Glorianna Jagfeld Lancaster University This paper is concerned with the compositionality of deverbal compounds such as budget assessment in English. We present an interdisciplinary study on how the morphosyntactic properties of the deverbal noun head (e.g., assessment) can pre- dict the interpretation of the compound, as mediated by the syntactic-semantic relationship between the non-head (e.g., budget) and the head. We start with Grim- shaw’s (1990) observation that deverbal nouns are ambiguous between composi- tionally interpreted argument structure nominals, which inherit verbal structure and realize arguments (e.g., the assessment of the budget by the government), and more lexicalized result nominals, which preserve no verbal properties or arguments (e.g., The assessment is on the table.). Our hypothesis is that deverbal compounds with argument structure nominal heads are fully compositional and, in our system, more easily predictable than those headed by result nominals, since their composi- tional make-up triggers an (unambiguous) object interpretation of the non-heads. Linguistic evidence gathered from corpora and human annotations, and evaluated with machine learning techniques supports this hypothesis. At the same time, it raises interesting discussion points on how different properties of the head con- tribute to the interpretation of the deverbal compound. Gianina Iordăchioaia, Lonneke van der Plas & Glorianna Jagfeld. 2020. Compositionality in English deverbal compounds: The role of the head. In Sabine Schulte im Walde & Eva Smolka (eds.), The role of constituents in multiword expressions: An interdisciplinary, cross-lingual perspec- tive, 61–106. -
Using the Web As an Implicit Training Set: Application to Noun Compound
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics by Preslav Ivanov Nakov Magistar (Sofia University, Bulgaria) 2001 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, BERKELEY arXiv:1912.01113v1 [cs.CL] 23 Nov 2019 Committee in charge: Professor Marti Hearst, Co-chair Professor Dan Klein, Co-chair Professor Jerome Feldman Professor Lynn Nichols Fall 2007 The dissertation of Preslav Ivanov Nakov is approved: Professor Marti Hearst, Co-chair Date Professor Dan Klein, Co-chair Date Professor Jerome Feldman Date Professor Lynn Nichols Date University of California, Berkeley Fall 2007 Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics Copyright 2007 by Preslav Ivanov Nakov 1 Abstract Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics by Preslav Ivanov Nakov Doctor of Philosophy in Computer Science University of California, Berkeley Professor Marti Hearst, Co-chair Professor Dan Klein, Co-chair An important characteristic of English written text is the abundance of noun compounds – sequences of nouns acting as a single noun, e.g., colon cancer tumor suppressor protein. While eventually mastered by domain experts, their interpretation poses a major challenge for automated analysis. Understanding noun compounds’ syntax and semantics is important for many natural language applications, including question answering, machine translation, information retrieval, and information extraction. For example, a question answering system might need to know whether ‘protein acting as a tumor suppressor’ is an acceptable paraphrase of the noun compound tumor suppressor protein, and an information extraction system might need to decide if the terms neck vein thrombosis and neck thrombosis can possibly co-refer when used in the same document. -
Compounds and Word Trees
Compounds and word trees LING 481/581 Winter 2011 Organization • Compounds – heads – types of compounds • Word trees Compounding • [root] [root] – machine gun – land line – snail mail – top-heavy – fieldwork • Notice variability in punctuation (to ignore) Compound stress • Green Lake • bluebird • fast lane • Bigfoot • bad boy • old school • hotline • Myspace Compositionality • (Extent to which) meanings of words, phrases determined by – morpheme meaning – structure • Predictability of meaning in compounds – ’roid rage (< 1987; ‘road rage’ < 1988) – football (< 1486; ‘American football’ 1879) – soap opera (< 1939) Head • ‘A word in a syntactic construction or a morpheme in a morphological one that determines the grammatical function or meaning of the construction as a whole. For example, house is the head of the noun phrase the red house...’ Aronoff and Fudeman 2011 Righthand head rule • In English (and most languages), morphological heads are the rightmost non- inflectional morpheme in the word – Lexical category of entire compound = lexical category of rightmost member – Not Spanish (HS example p. 139) • English be- – devil, bedevil Compounding and lexical category noun verb adjective noun machine friend request skin-deep gun foot bail rage quit verb thinktank stir-fry(?) ? adjective high school dry-clean(?) red-hot low-ball ‘the V+N pattern is unproductive and limited to a few lexically listed items, and the N+V pattern is not really productive either.’ HS: 138 Heads of words • Morphosyntactic head: determines lexical category – syntactic distribution • That thinktank is overrated. – morphological characteristics; e.g. inflection • plurality: highschool highschools • tense on V: dry-clean dry-cleaned • case on N – Sahaptin wáyxti- “run, race” wayxtitpamá “pertaining to racing” wayxtitpamá k'úsi ‘race horse’ Máytski=ish á-shapaxwnawiinknik-xa-na wayxtitpamá k'úsi-nan.. -
The Challenges of Translating English Compounds Into Arabic - for Better Or for Worse
الجنان Al Jinan Volume 11 Article 19 2020 The challenges of Translating English Compounds into Arabic - For Better or for Worse Walid M. Amer Islamic University of Gaza, [email protected] Karim Menacere Liverpool Business School, [email protected] Follow this and additional works at: https://digitalcommons.aaru.edu.jo/aljinan Part of the Language Interpretation and Translation Commons Recommended Citation Amer, Walid M. and Menacere, Karim (2020) "The challenges of Translating English Compounds into .Vol. 11 , Article 19 :الجنان Arabic - For Better or for Worse," Al Jinan Available at: https://digitalcommons.aaru.edu.jo/aljinan/vol11/iss1/19 This Article is brought to you for free and open access by Arab Journals Platform. It has been accepted for .by an authorized editor. The journal is hosted on Digital Commons, an Elsevier platform الجنان inclusion in Al Jinan For more information, please contact [email protected], [email protected], [email protected]. -19- Author Corresponding author Dr. Walid M. Amer Dr. Karim Menacere Associate Professor of Linguistics Senior Lecturer Islamic University of Gaza. Liverpool Business School The challenges of Translating English Compounds into Arabic - For Better or for Worse. DOI: 10.33986/0522-000-011-022 Abstract English: This paper examines the main challenges of translating English compounds into Arabic. Compounding is linguistically a common process across many languages where compounds are frequently formed. In English, compounding is highly creative and innovative, and often used as a means of introducing new phrases or coining new words into the lexicon. In contrast, Arabic is less resourceful. -
A Poor Man's Approach to CLEF
A poor man's approach to CLEF Arjen P. de Vries1;2 1 CWI, Amsterdam, The Netherlands 2 University of Twente, Enschede, The Netherlands [email protected] October 16, 2000 1 Goals The Mirror DBMS [dV99] aims specifically at supporting both data management and content man- agement in a single system. Its design separates the retrieval model from the specific techniques used for implementation, thus allowing more flexibility to experiment with a variety of retrieval models. Its design based on database techniques intends to support this flexibility without caus- ing a major penalty on the efficiency and scalability of the system. The support for information retrieval in our system is presented in detail in [dVH99], [dV98], and [dVW99]. The primary goal of our participation in CLEF is to acquire experience with supporting Dutch users. Also, we want to investigate whether we can obtain a reasonable performance without requiring expensive (but high quality) resources. We do not expect to obtain impressive results with our system, but hope to obtain a baseline from which we can develop our system further. We decided to submit runs for all four target languages, but our main interest is in the bilingual Dutch to English runs. 2 Pre-processing We have used only ‘off-the-shelf' tools for stopping, stemming, compound-splitting (only for Dutch) and translation. All our tools are available for free, without usage restrictions for research purposes. Stopping and stemming Moderately sized stoplists, of comparable coverage, were made available by University of Twente (see also Table 1). We used the stemmers provided by Muscat1, an open source search engine. -
Verbal Compounding in English: a Challenge for Usage-Based Models of Word-Formation?
DOI 10.1515/anglia-2013-0066 Anglia 2013, 131 (4): 591–626 Angela Lamberty and Hans-Jörg Schmid Verbal Compounding in English: A Challenge for Usage-Based Models of Word-Formation? Abstract: Usage-based models of grammar claim that, in a nutshell, speakers glean their tacit knowledge about language from their linguistic experience in communicative exchanges. Verbal compounding can be considered a challenge to usage-based models: on the one hand, genuine verbal compounding is gen- erally regarded as not being a productive pattern for the formation of new Eng- lish words; on the other hand, complex lexemes which could very well be the result of such a process, but were created by means of back-formation or con- version, e.g. to dry-clean, to babysit or to house-train, exist in non-negligible quantities. From a usage-based perspective, then, the question arises as to why speakers of English apparently do not have a productive schema for the crea- tion of genuine verbal compounds at their disposal, even though they are con- fronted with linguistic input that seems to suggest, at least on the surface, that verbal compounding is indeed a productive process. Given that speakers with no training in linguistics are unlikely to be aware of the formation history of existing verbal compounds, what is the nature of the tacit knowledge they do seem to have that generally prevents them from creating new genuine verbal compounds and from judging them as acceptable when they come across them? This is the question addressed in the present paper. We offer findings from a systematic dictionary-cum-corpus analysis and from an acceptability and comprehension task which strongly suggest that hearers actually do not process novel genuine verbal compounds as compounds, but rely on different processing strategies instead, trying to take recourse to possible base nouns or adjectives and interpreting meanings on the basis of analogies to similar lexical items in the network. -
Robust Prediction of Punctuation and Truecasing for Medical ASR
Robust Prediction of Punctuation and Truecasing for Medical ASR Monica Sunkara Srikanth Ronanki Kalpit Dixit Sravan Bodapati Katrin Kirchhoff Amazon AWS AI, USA fsunkaral, [email protected] Abstract the accuracy of subsequent natural language under- standing algorithms (Peitz et al., 2011a; Makhoul Automatic speech recognition (ASR) systems et al., 2005) to identify information such as pa- in the medical domain that focus on transcrib- tient diagnosis, treatments, dosages, symptoms and ing clinical dictations and doctor-patient con- signs. Typically, clinicians explicitly dictate the versations often pose many challenges due to the complexity of the domain. ASR output punctuation commands like “period”, “add comma” typically undergoes automatic punctuation to etc., and a postprocessing component takes care enable users to speak naturally, without hav- of punctuation restoration. This process is usu- ing to vocalise awkward and explicit punc- ally error-prone as the clinicians may struggle with tuation commands, such as “period”, “add appropriate punctuation insertion during dictation. comma” or “exclamation point”, while true- Moreover, doctor-patient conversations lack ex- casing enhances user readability and improves plicit vocalization of punctuation marks motivating the performance of downstream NLP tasks. This paper proposes a conditional joint mod- the need for automatic prediction of punctuation eling framework for prediction of punctuation and truecasing. In this work, we aim to solve the and truecasing using pretrained masked lan- problem of automatic punctuation and truecasing guage models such as BERT, BioBERT and restoration to medical ASR system text outputs. RoBERTa. We also present techniques for Most recent approaches to punctuation and true- domain and task specific adaptation by fine- casing restoration problem rely on deep learning tuning masked language models with medical (Nguyen et al., 2019a; Salloum et al., 2017). -
A Morphological Comparative Study Between Albanian and English Language
European Scientific Journal A morphological comparative study between Albanian and English language Aida Kurani Anita Muho University “Aleksander Moisiu”, Durres, Albania Abstract: The aim of this study is to point out similarities and differences of English and Albanian language in the morphological level, trying to compare different parts of speech of both languages. Many languages do not distinguish between adjectives and adverbs or adjectives and names etc, i.e. the Albanian language differs in terms of gender and plural adjectives, while English has not such a feature. Therefore formal distinctions between parts of speech should be done within the framework of a given language and should not be applied in other languages .In this study we have analyzed nouns, verbs, adverbs, adjective structures, the use of articles, pronouns etc. in Albanian and English. In the light of modern linguistics, comparative method plays an important role in the acquisition of languages comparing the first language with the target language. Comparative method is also considered as a key factor in the scientific research of modern linguistics, so it can be used successfully in teaching. Keywords; Albanian, English, differences, morphology, similarities, teaching. 28 European Scientific Journal Introduction In Albanian language, the comparative studies in linguistics are very rare. Considering the fact that language is closely related to culture, a linguistic comparative study is also a cultural comparison. Although all languages mainly play a similar role, there are similarities and differences between them. Knowing the differences between the two languages also helps in identifying students' linguistic errors in the process of teaching the grammar.