Description, Analysis, Formalization, Implementation Where are we and how did we get there? Where are we? • We have several major theories: GB/Minimalist Theories, HPSG, CxG, Categorial Grammar, LFG, TAG, Dependency Grammar, Relational Grammar/Arc Pair Grammar, Integrational Linguistics, . . . • Many analyses translatable into other frameworks (Müller, 2013c, To appear). • Concepts, ideas are taken over • HPSG = Frankenstein theory (GB, CG, DG, CxG) • LFG (inheritance, constructions) • Minimalism Some Remarks on the State of the Field and on Ways to Ensure Progress: Description, Analysis, Formalization, Implementation: (functional application, inheritance, structured feature value pairs, LP constriants) • But: Lappin, Levine and Johnson (2000); Culicover and Jackendoff (2005); Felix (2010); Sternefeld and Richter (2012) Stefan Müller • Problems in style of argumentation • Problems with decreasing coverage of theories Deutsche Grammatik Institut für Deutsche und Niederländische Philologie Freie Universität Berlin (example labeling, falls way back behind the 80ies) • Problems with motivation of analyses • Problems with crosslinguistic validation of approaches • Problems with consistency and formalization [email protected] August 27, 2013 c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics Description, Analysis, Formalization, Implementation 1/20 Description, Analysis, Formalization, Implementation Where are we and how did we get there? Poverty of the Stimulus and Argumentation for Current Theories Poverty of the Stimulus How did we get there? Uniformity and l’art pour l’art Poverty of the Stimulus • Culicover and Jackendoff (2005): • Chomsky: There is a poverty of the stimulus. Language cannot be acquired One reason for the way the grammars look like nowadays is the goal of uniformity. • Sternefeld and Richter (2012): As a mathematical discipline travels far from its empirical source, or still more, if it is a second and third generation only indirectly inspired from ideas coming from ‘reality,’ it is beset with very grave dangers. It becomes more and more purely aestheticizing, more and more purely l’art pour l’art. This need not be bad, if the field is surrounded by correlated subjects, which still have closer empirical connections, or if the discipline is under the influence of men with an exceptionally well-developed taste. But there is a grave danger that the subject will develop along the line of least resistance, that the stream, so far from its source, will separate into a multitude of insignificant branches, and that the discipline will become a disorganized mass of details and complexities. In other words, at a great distance from its empirical source, or after much ‘abstract’ inbreeding, a mathematical subject is in danger of degeneration. At the inception the style is usually classical; when it shows signs of becoming baroque the danger signal is up. It would be easy to give examples, to trace specific evolutions into the baroque and the very high baroque, but this would be too technical. (von Neumann, 1947) c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics from input → Innate domain-specific knowledge is required. • Example: Auxiliary inversion in English (Chomsky, 1971, p. 29–33; 2013, p. 39) • Bod (2009): AuxInv can be learned without access to the data that Chomsky claimed to be required. • Promising results from input-based theories: Freudenthal et al., 2007, 2009 2/20 c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 3/20 Description, Analysis, Formalization, Implementation Description, Analysis, Formalization, Implementation Poverty of the Stimulus and Argumentation for Current Theories Poverty of the Stimulus and Argumentation for Current Theories Example Cases Example Cases Evidence from a single language and UG German is English/Romance (SVO, Laenzlinger following Kayne) • What does it mean for other languages • All languages are CP Spr-H-Comp underlyingly. that a rule/morpheme is present in one particular language? • Possible answer: If we have a certain structure in language X, it must be present in all languages. • Example: C0 SubjP • The object is moved out of DP the VP. . . . ObjP DP VP Aux+ • Basque: Tree positions for object agreement (AgrO, AgrIO) • Japanese/Gungbe: Tree position for topic marker Aux • Conclusion: weil c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 4/20 Description, Analysis, Formalization, Implementation er ihn gelesen assumed. DP hat c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 5/20 Description, Analysis, Formalization, Implementation Poverty of the Stimulus and Argumentation for Current Theories Poverty of the Stimulus and Argumentation for Current Theories Example Cases Example Cases German is German (GB Variants, CG, LFG, HPSG, . . . ) English, German, . . . are Hungarian CP • Hornstein, Nunes and Grohmann (2005, p. 124): AgrP VP Agr C NP V ihn V gelesen hat c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics weil PP VP • DP is put into the specifier position of this head. • Evidence for this: P′ NP NP V V er ihn gelesen hat mirj V agreement head for the checking of case features • Preposition is moved there. Agr′ DP CP V′ NP er • Innateness has to be VP V If such inferences regarding properties of particular languages, one has to assume (very specific!) innate linguistic knowledge. weil heads (Cinque, 1999). νP DP • German and Dutch neither have object agreement nor topic morphemes. C • The subject is fronted. • The empty VP is fronted. • There are further empty . . . AuxP 6/20 hinteri P DP i j Agreement in Hungarian postpositional phrases • English is like Hungarian, but the movement is invisible. c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 7/20 Description, Analysis, Formalization, Implementation Description, Analysis, Formalization, Implementation Poverty of the Stimulus and Argumentation for Current Theories Bottom Up Discovery of Linguistic Generalizations Example Cases Crosslinguistic Considerations German is German, . . . Hungarian is Hungarian Evidence from other languages? • A PP is a P together with an NP (or DP). PP P DP hinter mir • So should we refrain from using evidence from other languages? • No movement instead of two movements. • No, it is a valuable resource for understanding how human language works. • Structure has five nodes less. • If we have two possibilities to analyze language X, and only one of them is compatible with language Y, we should go for this one. • Truly minimal! • Question: What constitutes an explanation? Where and how is complexity of language represented? • But this argumentation has to happen on an entirely different level (Fanselow, 2009, p. 137). Non-trivial fragments should be compared and each fragment should be motivated on its own. • This is done in the CoreGram project: Müller, 2013b,a c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 8/20 Description, Analysis, Formalization, Implementation Bottom Up Discovery of Linguistic Generalizations Crosslinguistic Considerations One Language at a Time Bottom Up with Cheating “One Language at a Time” and Methodological Opportunism Arg Str Arg Str V2 SOV VC Set 3 9/20 Description, Analysis, Formalization, Implementation Bottom Up Discovery of Linguistic Generalizations Arg St V2 SOV VC c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics V2 Set 5 SOV VC Set 4 Set 8 Set 7 Set 11 SVO Set 4 Set 1 Set 2 Set 1 Set 2 Set 6 Set 1 Set 2 Set 6 Set 12 Set 13 German Dutch German Dutch Danish German Dutch Danish English French one needs a description of the respective languages. • Stepwise broadening of the research perspective • We provide the descriptions in a formal way and the generalizations fall out on the • Reuse of analyses if possible way. • German, Danish, Persian, Maltese, Chinese, English, Yiddish, French, . . . c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics • Croft (2009, p. 154): From a typologists’s perspective, there are two serious problems with the generative methodology for deriving syntactic universals and evaluating them with respect to evidence from crosslinguistic comparison. The first has to do with the “one language at a time” method. In this method, the languages are examined individually before they are compared, or more precisely, one starts with one language, and successively compares a second language to the first, then a third to the second, and so on, modifying the hypothesis as one goes on. This method contrasts with the typological method, in which one examines a broad sample of languages to begin with, and formulates hypotheses based on the evidence from the broad sample as a whole. • In order to make statements on a broad sample, 10/20 c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 11/20 Description, Analysis, Formalization, Implementation Description, Analysis, Formalization, Implementation Bottom Up Discovery of Linguistic Generalizations Bottom Up Discovery of Linguistic Generalizations One Language at a Time Predictions/Restrictions “One Language at a Time” and the Pro-Drop Parameter Predictions: Individual Grammars Make Predictions • Pro-Drop Parameter: • MIT: This does not make any predictions concerning possible/impossible One binary switch assumed to be responsible for a lot of phenomena • All correlations turned out to be wrong. languages • These constraint sets make predictions (Müller, 1999, p. 439): Netter (1991): • Croft (2009) discussing the Pro-Drop Parameter: it implies that the “one language at a time” approach is not a fruitful one for finding syntactic universals. • Croft uses sample sizes of 12 (p. 158). This is manageable. • Unlikely that we will reach sample sizes of 400+ languages, but who knows . . . You are invited to join the enterprise. • Difference between CoreGram and GB/MP: • No broad claims are made (right now) • No need to explain problematic data away. c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics (1) a. [Versucht, zu lesen], hat er das Buch nicht. tried to read has he the book not ‘He did not try to read the book.’ b. [Versucht, einen Freund vorzustellen], hat er ihr noch nie. tried a friend to.introduce has he her yet never ‘He never tried to introduce her to a friend.’ Third Construction + PVP 12/20 Description, Analysis, Formalization, Implementation c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 13/20 Description, Analysis, Formalization, Implementation Bottom Up Discovery of Linguistic Generalizations Bottom Up Discovery of Linguistic Generalizations Predictions/Restrictions Predictions/Restrictions Constraint Sets Make Predictions for All Languages/Language Classes Things We Do not Have to Exclude • Similarly: Topmost constraint set holds for all (examined) languages. • Why are there no languages that form questions by reversing the order of the It predicts that certain structures are impossible, for instance languages that put the verb in penultimate position (Kayne, 1994, p. 50) are ruled out because of information structure constraints. • If it turns out that the topmost constraints are too restrictive, words (Musso et al., 2003)? • Answer: Since we do not have sufficient memory. • No need to account for this in a grammar. we have to change them. c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 14/20 c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 15/20 Description, Analysis, Formalization, Implementation Description, Analysis, Formalization, Implementation Bottom Up Discovery of Linguistic Generalizations The Cure Predictions/Restrictions Predictions: All SOV Languages Are V2 (Not True) Arg Str V2 SOV VC The Cure Quote from a letter by Hai Ross to the 50th anniversary of the MIT Linguistics department: Set 8 Set 7 Set 11 As a mathematical discipline travels far from its empirical source, or still more, if it is a second and third generation only indirectly inspired from ideas coming from ‘reality,’ it is beset with very grave dangers. It becomes more and more purely aestheticizing, more and more purely l’art pour l’art. This need not be bad, if the field is surrounded by correlated subjects, which still have closer empirical connections, or if the discipline is under the influence of men with an exceptionally well-developed taste. SVO But there is a grave danger that the subject will develop along the line of least resistance, that the stream, so far from its source, will separate into a multitude of insignificant branches, and that the discipline will become a disorganized mass of details and complexities. Set 4 Set 1 Set 2 Set 6 Set 12 Set 13 German Dutch Danish English French In other words, at a great distance from its empirical source, or after much ‘abstract’ inbreeding, a mathematical subject is in danger of degeneration. At the inception the style is usually classical; when it shows signs of becoming baroque the danger signal is up. It would be easy to give examples, to trace specific evolutions into the baroque and the very high baroque, but this would be too technical. Since all languages with Set 4 are also Set 7, it follows that all SOV languages are also V2 languages. Obviously wrong, but it shows the kind of knowledge that can be read off from such hierarchies. c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 16/20 Description, Analysis, Formalization, Implementation In any event, whenever this stage is reached, the only remedy seems to me to be the rejuvenating return to the source: the reinjection of more or less directly empirical ideas. I am convinced that this is a necessary condition to conserve the freshness and the vitality of the subject, and that this will remain so in the future. c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics Description, Analysis, Formalization, Implementation The Cure Desiderata More Data and Consistency Checks Desiderata • We need more data and we have it: • psycholinguistics: Tanenhaus et al., 1996; Wittenberg et al., To appear • neurolinguistics: Cappelle, Shtyrov and Pulvermüller, 2010 • corpus linguistics: Meurers and Müller, 2009; Kiss, 2008; Stefanowitsch and Gries, 2009; Schäfer and Bildhauer, 2012 • more languages with the same underlying assumptions Desiderata for linguistic frameworks: • If everything is taken into account, an enormous complexity results. • Implementation is our only chance to verify consistency. • We need standards to make analyses comparable and implementable (Fanselow, 2009). • More data is the cure that will wipe out bad taste. Bad taste analyses just do not scale! • Books should be published with a list of sample sentences that the theory covers. c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 17/20 18/20 • constraint-based formalization (Pullum and Scholz, 2001; Pullum, 2007; Sag and Wasow, 2011) • strongly lexicalist orientation (Sag and Wasow, 2011; Müller, 2006, To appear) • parallel/sign-based architecture including constraints on phonology, morphology, syntax, semantics, and information structure and the interactions between the various levels of linguistic description (Jackendoff, 2011; Kuhn, 2007) • not restricted to headed configurations (Jackendoff, 2008; Jacobs, 2008) • possibility to describe complex linguistic objects rather than just lexical items (Kay and Fillmore, 1999; Sag, 1997) c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 19/20 Description, Analysis, Formalization, Implementation Description, Analysis, Formalization, Implementation Conclusions Appendix Poverty of the Stimulus und U-DOP Conclusions Poverty of the Stimulus and U-DOP • Some analyses that are currently suggested are bizarre. • U-DOP learns from examples that do not contain examples with auxiliary inversion and • Parts of the field seem to have disconnected from the empirical basis. • Bad taste? • Cure: • more data, • larger fragments (implementation and systematic testing, coverage never goes down) • Needed: Ways to express linguistic theories that can be understood by (2) a. The man who is eating is hungry. b. Is the boy hungry? (3) Is the man who is eating hungry? everybody and translated into a format that can be used for consistency checks. • Collaboration between theoretical and computational linguists c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics relative clauses (Bod, 2009). Once one learned the correct trees for (2) one can also assign the correct structure to sentences with auxiliary inversion (p. 778): 20/20 Description, Analysis, Formalization, Implementation To acquire (2) for example the sentences in (4) are sufficient: (4) a. b. c. d. The The The The man who is eating mumbled. man is hungry. man mumbled. boy is eating. c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 21/20 Description, Analysis, Formalization, Implementation Appendix Appendix Poverty of the Stimulus und U-DOP Poverty of the Stimulus und U-DOP Poverty of the Stimulus and U-DOP – II Possible binary branching structures for Watch the dog and The dog barks • Procedure: 1. Compute all possible (binary branching) trees (without category symbols) for a set of given sentences. 2. Compute all subtrees of these trees. 3. Compute the best tree for a given sentence. X X X • The acquired grammars make the same mistakes as children! watch X the dog watch X the X X the c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 22/20 dog dog X barks c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics the dog barks 23/20 Description, Analysis, Formalization, Implementation Description, Analysis, Formalization, Implementation Appendix Appendix Poverty of the Stimulus und U-DOP Poverty of the Stimulus und U-DOP Subtrees Analysis with Subtrees and Probabilities X • Every tree has a probability of X X X watch watch 1/12. X the dog the dog X X • the dog appears twice! X probability = 2/12. X X X the watch the the X dog dog watch X dog barks 13/144 X X X the dog barks dog barks X X X X X dog the X dog the barks barks the c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 24/20 Description, Analysis, Formalization, Implementation dog barks 14/144 is produced by X X X X the dog barks 1/12 = 12/144 and X ◦ the dog barks 1/12 × 2/12 = 2/144 c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 25/20 Cinque and UG • from another text book: pP • Cinque: Certain elements appear in the same order in all languages. Radford (1997, p. 452) p • Sternefeld (2006, p. 549–550) calls this a AgrOP D Swiss Cheese analysis, but there are more holes (5) than cheese (2). AgrO P me t′ AgrO Analysis: One innate tree structure for all langugages. If there is no evidence for elmenets in a certain language, empty nodes are assumed. • True: we would never arrive at Cinque’s analyses, since we reject invisible elements for which we do not have evidence in a particular language. • But if we really insisted, we could do better than Cinque: AgrO ∅ dog barks the 1/12 × 1/12 = 1/144 the dog barks 1/12 = 12/144 Poverty of the Stimulus und U-DOP The Swiss Cheese with X ◦ and Appendix Poverty of the Stimulus und U-DOP p X X Description, Analysis, Formalization, Implementation Appendix P X X X X the is produced by • Put all categories that appear in these fixed orders in the topmost set. • Put LP constraints in the topmost set. PP P D t t c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics If categories are present in a language, they are ordered properly, if not, the LP constraints do not do any harm. No empty nodes in trees are needed. • But we reject 400+ inate categories as they were suggested by Cinque and Rizzi (2010, p. 57). See Bod, 2009 on the Poverty of the Stimulus. 26/20 c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 27/20 Description, Analysis, Formalization, Implementation Description, Analysis, Formalization, Implementation Appendix Appendix Formalization Notes on Complexity Chomsyk on Formalization Bierwisch: Interaction of Phenomena beyond Human Capacities Precisely constructed models for linguistic structure can play an important role, both negative and positive, in the process of discovery itself. By pushing a precise but inadequate formulation to an unacceptable conclusion, we can often expose the exact source of this inadequacy and, consequently, gain a deeper understanding of the linguistic data. More positively, a formalized theory may automatically provide solutions for many problems other than those for which it was explicitly designed. Obscure and intuition-bound notions can neither lead to absurd conclusions nor provide new and correct ones, and hence they fail to be useful in two important respects. I think that some of those linguists who have questioned the value of precise and technical development of linguistic theory have failed to recognize the productive potential in the method of rigorously stating a proposed theory and applying it strictly to linguistic material with no attempt to avoid unacceptable conclusions by ad hoc adjustments or loose formulation. (Chomsky, 1957, p. 5) Es ist also sehr wohl möglich, daß mit den formulierten Regeln Sätze erzeugt werden können, die auch in einer nicht vorausgesehenen Weise aus der Menge der grammatisch richtigen Sätze herausfallen, die also durch Eigenschaften gegen die Grammatikalität verstoßen, die wir nicht wissentlich aus der Untersuchung ausgeschlossen haben. Das ist der Sinn der Feststellung, daß eine Grammatik eine Hypothese über die Struktur einer Sprache ist. Eine systematische Überprüfung der Implikationen einer für natürliche Sprachen angemessenen Grammatik ist sicherlich eine mit Hand nicht mehr zu bewältigende Aufgabe. Sie könnte vorgenommen werden, indem die Grammatik als Rechenprogramm in einem Elektronenrechner realisiert wird, so daß überprüft werden kann, in welchem Maße das Resultat von der zu beschreibenden Sprache abweicht. (Bierwisch, 1963, p. 163) c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics c Stefan Müller 2013, FU Berlin, German Grammar and General Linguistics 28/20 Description, Analysis, Formalization, Implementation It is very possible that the rules that we formulated generate sentences which are outside of the set of grammatical sentences in an unpredictable way, that is, they violate grammaticality due to properties that we did not exclude deliberately in our examination. This is meant by the statement that a grammar is a hypothesis about the structure of a language. A systematic check of the implications of a grammar that is appropriate for natural languages is surely a task that cannot be done by hand any more. This task could be solved by implementing the grammar as a calculating task on a computer so that it becomes possible to verify to which degree the result deviates from the language to be described. 29/20 Description, Analysis, Formalization, Implementation Appendix References Notes on Complexity Abney: Fragment Size → Dramatic Increase of Complexity! A goal of earlier linguistic work, and one that is still a central goal of the linguistic work that goes on in computational linguistics, is to develop grammars that assign a reasonable syntactic structure to every sentence of English, or as nearly every sentence as possible. [. . . ] The scope of the problem of identifying the correct parse cannot be appreciated by examining behavior on small fragments, however deeply analyzed. Large fragments are not just small fragments several times over—there is a qualitative change when one begins studying large fragments. As the range of constructions that the grammar accommodates increases, the number of undesired parses for sentences increases dramatically. (Abney, 1996, p. 20) Abney, Steven P. 1996. Statistical Methods and Linguistics. In Judith L. Klavans and Philip Resnik (eds.), The Balancing Act: Combining Symbolic and Statistical Approaches to Language, Language, Speech, and Communication, pages 1–26, London, England/Cambridge, MA: MIT Press. Ackerman, Farrell and Webelhuth, Gert. 1998. A Theory of Predicates. CSLI Lecture Notes, No. 76, Stanford, CA: CSLI Publications. Asudeh, Ash, Dalrymple, Mary and Toivonen, Ida. 2008. Constructions with Lexical Integrity: Templates as the Lexicon-Syntax Interface. In Miriam Butt and Tracy Holloway King (eds.), Proceedings of the LFG 2008 Conference, Stanford, CA: CSLI Publications. http://cslipublications. stanford.edu/LFG/13/, 27.09.2012. Asudeh, Ash, Dalrymple, Mary and Toivonen, Ida. 2013. Constructions with Lexical Integrity. 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